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What Is Project Management?
A project is an undertaking by one or more people to develop and create a service, product or goal. Project management is the process of overseeing, organizing and guiding an entire project from start to finish. Here are more facts about project management.
Project Management Helps Teams Work Together
A competent project manager pulls together all of the people involved in a project to ensure that tasks are done cooperatively and with regard to the tasks’ effects on other people’s project outcomes. For example, when a new building is being constructed, a project manager will schedule electrical wiring installation before scheduling installation of light fixtures and electrical equipment. If the lighting crew is scheduled before the structure is wired, the lighting crew wastes time arriving on site only to find they can’t perform their work.
Project managers also schedule meetings between various teams to foster cooperation and increased communication about projects. In the example above, the project manager may schedule a meeting during which the electricians explain the wiring, wall-switch operation and receptacle layout to the lighting contractors. Both teams communicate their needs and concerns to help the project move forward without delays.
Project Management Performs Vital Processes
According to the Project Management Institute, five main management processes are used to see a project through to completion. The five processes are:
- Monitoring and controlling
At the initiating phase, key individuals share ideas about a proposed project. In the planning stages, the project is defined and schedules are created to complete the project in a defined time frame. Execution of the project requires organizing and scheduling supplies, materials and workers to complete the project. Monitoring and controlling in project management is the process of inspecting work, crunching budget numbers and keeping track of deadlines. Closing the project involves site cleanup, turning over the project to the owner, collecting payments and scheduling meetings to discuss the lessons learned from a project.
Project Management Focuses on Key Areas of Knowledge
Project management draws on a diverse set of skills. While project managers don’t need to have in-depth knowledge of all key skill areas, they do need to have a basic understanding of the limitations and concerns of each knowledge area. Project managers need to view a project in its entirety and understand the relationships between costs, quality, supply procurement, human resources, communication, risk management and stakeholder management.
Project Management Requires Document Management
A competent project manager organizes all documentation including invoices, e-mails, bids, proposals, permits, and project changes. The project manager ensures documents are submitted on time and to the correct businesses, agencies or individuals. The project manager is also responsible for secure storage of all project documents.
Project Management Helps Meet Goals
Project management is a relatively new field of practice and study but has become a proven method to meet lofty goals and bring diverse groups of people together for a common purpose.
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Our Best Picks Of Capstone Project Ideas for Information Technology
Updated 01 Feb 2023
A capstone project, capstone experience, senior exhibition, or culminating project is an essential academic assignment for students. This culminating experience is meant for undergraduates in their final year at their school or academic program.
These projects come in many different forms, but they all require a long-term investment before the final presentation. Selecting a topic can be difficult, especially when looking for information technology ones. It can be explained by the fact that this branch of science is developing faster than ever (and then the majority of others do). There are a lot of capstone project ideas for information technology you can cover, but which one is a nice choice? In order to help you with the process, we’ve decided to give you some titles for inspiration. Looking to write your paper? Our essay writers are here to help!
How to Choose an Engaging Topic for Your IT Project
Capstone projects are very important for students. They help students develop critical thinking, learn how to solve problems, improve their communication skills, research, teamwork, presentation skills, etc. It also builds up the student’s resume and demonstrates learning.
This is why capstone projects are so important. But choosing the right idea for your project can be challenging, mainly because it holds such value. At the same time, it will be your focus for a long time. Here are some tips for choosing IT capstone project ideas.
Take the time to brainstorm information technology capstone project ideas
Now that you’re getting ready to start your information technology capstone project, you’ve probably finished most of your other obligations. The first thing you need to think about is all the information technology classes and topics that were interesting to you.
Did you want to learn more about specific topics? Were there some topics you learned quickly? Try to remind yourself of exciting topics and go through your notes to see if you haven’t missed anything. Shortlist all of the potential topics.
Go through potential topics!
Once you’ve finished your list, you need to see which ones have potential. See what is discussed in those topics, the latest research, something related to them, etc. See if you can find information that looks promising.
Are there any subjects within those topics that spark controversy or leave room for discussion? At the same time, remove all the topics that are limited or are above your knowledge.
Narrow your topic down
If you are interested in data mining, you shouldn’t try to cover the whole topic from the start until now. Instead of that, you should focus on a single area or aspect of data mining that seems interesting to you. For example, you can talk about the latest trends in predictive analytics.
120 Capstone Project Ideas for Information Technology
Use one of these information technology capstone project examples as your topic or inspiration. Get affordable and high quality legal essay writing service here.
- Home Surveillance and Automation
- iPhone SMS Notification Systems
- Using GSM Technologies for Detecting Theft
- POS Apps and Their Use
- Business Use Cases for Accounting Apps
- Time Tracking Solutions for Office Productivity
- SMS Doorbell Notification Tools
- Wireless Technologies for Surveillance
- Online Learning Systems and Their Relevance
- Online Apps For Business Management
- Improving Nursing Education With a Healthcare System
- Project Management Tracking Systems
- Biometric Security Systems
- Most Important Tools For Managing Data Security
- Fleet Management Software
- How The Internet Works: The Basics
- Introduction to Data Mining
- Emergency Vehicle Notification Systems
- Benefits of Data Mining
- What are Data Breaches and How to Prevent Them
- Improving Data Security
- Benefits of Car Transportation Systems
- Ecommerce Pricing Control Systems
- Apps for Monitoring Temperature
- Mobile Event Planners
- Alarm SMS Notification Systems
- Mobile Learning: How it Works
- Project Management Systems
- Machine Learning and Big Data
- University Networks
- ARPANET: How The Internet Started
- Latest Ecommerce Technologies
- Cre Principles of Cybersecurity
- Information Technology in the 21st century
- Java Programming: The Basics
- Software Testing 101
- Introduction to Software Quality Assurance
- Employee Productivity Apps
- Onboarding Systems and HR
- Cloud-Based Software vs. On-Site Solutions
- Benefits of Cloud Solutions
- Hotel PMS Systems
- Smart Technology in the Hotel Industry
- IoT and Data
- New IoT Gadgets
- What is Artificial Intelligence
- What is Machine Learning
- Robotics Systems
- Neural Networks
- How Has Technology Changed Our Lives
- Censorship on the Internet
- Should the Internet be Free?
- Email Marketing Tools
- Web Scrapers
- How Machine Learning Learns
- How is AI Affecting us Today
- New Tech Innovations for the Near Future
- What is Virtual Reality
- How are Clouds Technologies Used for Data Storage
- Mobile Apps That Improve Education
- How The Internet Will Develop
- Software as a Service
- Platform as a Service
- Infrastructure as a Service
- SaaS, PaaS, & IaaS: Main Differences
- How Google Ranks Websites
- 3D Visualization in Architecture
- Essential Skills 3D Artists Need
- 3D Rendering Tools
- DMaaS - Data Mining as a Service
- Augmented Reality
- VR vs. AR: Differences Explained
- Automation Systems in the 21st century
- Data Management for Big Companies
- Essential Data Analyst Skills
- AI and Gamification
- Data Mining for Employee Evaluation
- Data Mining in Healthcare
- Machine Learning for OTAs
- Facebook and Data
- Censorship on Social Media
- How Social Media Filters out Content
- Fingerprint Authentication
- IoT Sensors
- Web Ordering Systems
- How to Prevent Phishing Attacks
- Using Web Scraping for Research
- Web Proxies
- Virtual Private Networks
- Differences Between VPNs and Proxies
- How Proxies Enhances Web Scraping
- Home Automation Systems
- Smart Homes
- Warehouse Management Systems
- How Voice Recognition Systems Work
- QR Code Check-ins
- Smart Systems in Cars
- Should Cars Have More Computers or Less?
- Solar Grass Cutters With Automation
- Voice Controlled Tools
- CRM Software
- Online Training Software Benefits
- ChatBots: Introduction
- Complex Chat Bots
- Using ML for Cybersecurity
- Machine LEarning in Ecommerce
- Elearning and Gamification
- How Games Have Improved Digital Technologies
- How Far Have Video Games Gone?
- Home Voice Assistants
- How Technology Helps Disabled People
- Apps for Child Monitoring
- Nutrition Tools
- Semantic Web & Big Data
- Autonomous Systems Today
- Is The Internet Helping us?
- Blockchain and Crypto
- How Bitcoin Works
- Edge Computing Explained
We hope these capstone project topics have inspired you to develop your own perfect topic.
Steps for Writing a Winning IT Capstone Project
Submit your project proposal..
When developing your custom capstone project for information technology list, consider including these points in your proposal:
- Your topic and motivation behind writing
- Your background about the subject
- Outline resources for the topic
- How do you plan on executing the paper
- Talk about your goals
Get all the necessary research.
Prepare everything you might need for the topic, be it computer science capstone project ideas or IT. Find all the sources, including textbooks, titles, literature, online resources, links, and so on.
Create a structure.
With a clear structure, you will organize your information correctly and have a good flow. The most common elements included in the structure are titles, introduction, literature review, references, methodology, discussions, recommendations, and conclusion.
The main focus of your project should be the thesis statement. Leave the introduction for the end, and make sure to double-check your research and your conclusions. In the end, proofread the text and try to improve your sections.
Get ready to defend your project.
Read your work multiple times, check out the research, and be prepared to defend all the conclusions and statements you’ve made.
Are You Having Trouble With Your IT Capstone Project Ideas?
It’s 2022, and you don’t have to torture yourself when you can get professional capstone project help . Our writers at EduBirdie can help you brainstorm topics and give you valuable advice on how to approach your project. Contact us today!
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Top 100 Capstone Project Ideas for Information Technology
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Top 10 Capstone Project Titles for Information Technology from Our Service
Choosing good capstone project titles for information technology paper as a first step.
A capstone project for information technology is a practical essay where you will have to demonstrate the skills and knowledge you have acquired throughout the course. The purpose of this project is to make sure that you know how to apply the concepts you have learned. Thus, you will have to pick one topic to develop from a wide range of capstone project ideas for information technology.
There are some common problems that many IT students face when writing their capstone project:
- One of them is picking a topic from a list of capstone project titles for information technology. There are so many options that making sure they choose the right one can be a challenge for most students.
- Another common problem is failing at organizing themselves. If you do not plan well in advance, you will not be able to meet the deadline and you will have to rush your project which will result in submitting a poorly-written project.
Learn from Capstone Project Examples Information Technology
The IT capstone projects give students the chance to show what they have learned in their studies and apply that knowledge in their capstone project. One of the most difficult parts of the project for many students is coming up with project ideas and titles. Choosing good capstone project ideas for information technology seems somewhat daunting to many students because they are expected to contribute something new to the field. However, it doesn’t have to be something earth shaking.
The main thing is to take what has been learned and apply it in a way you haven’t done before. Keep the following in mind when selecting topic ideas and capstone project titles for information technology:
- Stick with what you know – Choose a topic that won’t require learning something completely new that hasn’t been covered in your studies. A project that seems interesting but which is in an area you have never studied should be avoided.
- Check available resources – Try and choose a topic that has good reference material
- Don’t procrastinate – Start thinking about your project topic as early as possible and run ideas by your advisers
- Use descriptive titles – Capstone project titles for information technology usually let the reader know what the topic is.
A winning project starts by choosing a strong topic from a list of capstone project titles for information technology. And it continues by having a professional writer help with capstone project . A professionally-written capstone project can help you ensure you demonstrate coherently and effectively all the skills and knowledge you have acquired. It can help you get the final grade you want.
Select from the Best Capstone Project Ideas for Information Technology
If the ideal topic for your information technology capstone writing doesn’t pop into your mind right away don’t panic. Consider the areas you find interesting and look at anyone else’s data science capstone project . There may be something you can improve on or add to. Here is a list of capstone project titles for information technology that may spark an idea:
- Presentation, management and merging – medical and complex data
- Systems of IT vision for wireless observation
- Simulation of Gaming with Financial Services
- Intelligent Vehicle Transportation System
- Academic and Social Universities Network
- App for E-commerce Storefront
- Tracker and Management for Hospitality
- Radial Basis Function Networks for Object Tracking
- E-Logistics For Warehouse Management
- SMS Notifications for Face Recognition
- Airline Booking System on Android and IOS
- App for changes in schedule
- Android App for Billing Management
- Web Application for Creating Tabulation and Events
- Smart Card Reading Creating
- Want to Improve Productivity in the Office? Try Intelligent Time Tracking
- Accounting Application based on Cloud Saving System
- Program for Loan and Inquiry in Mobile Phone
- LAN Based Stocktaking And Selling
- Web App For Business Administration
- Ring Notification Application with the SMS support
- Robber Detection With The Use Of GSM Technology
- Patient Information With ERP System
- SMS Notification Using Android
- Home Surveillance And Automation
- Web Class Record App
- Android Based Electronic Board
- Use Of The Healthcare System For Nursing Education
- GSM Technology And Rfid Security System
- Coin Loading Software
- Mobile And Web Event Evaluation App
- Digital Notice Board To Be Displayed On The PC Monitor
- Weather Forecast Using The Open Observation System
- Water Level Indicator SMS Notification
- Air Tester Quality App Using Android
- Monitoring System App For Items
- Training And Education Of Nursing Using Healthcare System
- Fare Payment Software
- Cedula Mobile App For Issuance Of Cedula
- Event Calendar App For Mobile Use
- Mobile L: Earning System For Employees
- Monitoring Temperature App
- Medical Technology Expert System
- Library Catalog App That Is Android Based
- SMS Notification for Smoke And Fire Alarm System
- Event Planner as Mobile Application
If you are completely unable to come up with a topic idea for your project, the IT capstone project writing service we provide can help.
Get Assistance Choosing an IT Capstone Project Ideas from Our Service
Our IT capstone project writing service provides assistance with any aspect of IT capstone projects, at any academic level. Besides offering an interesting capstone project for information technology list, our expert team can assist you with the writing process. These are some of the traits that make them the best ones you can hire to write on your computer science capstone project ideas professionally:
- Our expert team has many years of experience in academia. They also have extensive experience with IT capstone projects and can assist you with anything from topic selection to providing a high-quality IT capstone project paper for you.
- Our writers are specialized in various fields. So we can help you with other projects besides an IT one.
- We offer professional writing services done by our expert writers. They will happily follow your requirements to ensure that you are satisfied with your essay.
- We also provide proofreading, editing, and formatting services. So you can be sure your project will be impeccable.
- Our expert team is composed of reliable professionals. They will treat your details confidentially.
Additional benefits of using our service include:
- Guarantees of complete satisfaction on all work we provide
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Get the Best Help with Information Technology Capstone Project Writing
If you need more than just good IT capstone project ideas, follow these steps to order our services:
- Fill out the order form. Include your personal details, and information about the project.
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When you need capstone project ideas for information technology, we are the clear solution to solving your IT capstone problems!
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Online Programming Lessons, Tutorials and Capstone Project guide
70 Best Web-Based Capstone Projects in PHP and MySQL
This article is a compilation of the 70 Best Web-Based Capstone Projects in PHP and MySQL ideas presented by our team. The article’s content might help future researchers regarding their project’s documentation. The capstone projects listed below are free of charge and you may use them according to your needs. The team just needs you to give proper credit to the site if it will be used for your capstone project requirements.
- Web-Based Human Resource Integrated System
The goal of this project is to design and develop a web application that will be used to store, manipulate, analyze, retrieve, and distribute human resource information for an organization.
14 IT and IS Capstone Project Topics
In comparison to the manual process, the capstone project, titled “Web-Based Human Resource Integrated System,” will undoubtedly reduce/lessen human error, properly organize records, reduce the cost of paper, printing, folders, and storage, and be much faster. In comparison to the manual process, the Web-Based Human Resource Integrated System will provide employees with up-to-date records and access to information.
- Lending System in PHP and MySQL
The project’s development aims to make loan transactions more convenient and using this system just requires the lender to exert less work, making it easier and faster to manage. This type of technology will make proposal underwriting easier, as well as dynamic document uploading, the creation of user accounts, and a collaborative framework for lenders. The Lending Management System is unique in that it is simple, intuitive, and proactive, and it manages various sorts of borrowers as well as the protection of users’ papers. Lending processes will be simplified as a result of this technology; they will no longer need to physically visit lending offices to complete the process; instead, they will simply use the internet.
- Web-Based Classroom Management System
The capstone project, “Web-based Classroom Management System,” aims to make classroom management more efficient. The web-based system will enable the management of student information, class administration, student activity tracking and monitoring, and other classroom activities.
- Online Grading and Student Information System in PHP MySQL and Bootstrap
Online Grading and Student Information System is a capstone project designed using PHP, MySQL, and Bootstrap. It is a platform that will take the place of the manual grading system for students. The studies and systems presented in this article will serve as the foundation for the creation of an online grading and student information system.
The online grading system also provided a web-based online grade inquiry service. During the enquiring of their grades, the student will provide their full name, student number, course, year, and section. The grades of each student are already saved on the registrar’s computer. The system’s development will streamline and simplify processes connected to student grading and information management.
- Health Insurance Information System in PHP and MySQL
The capstone project, titled “Health Insurance Information System,” is a system that will allow health insurance clients to receive information on proposed health insurance. The system will assist insurance companies and clients in providing and conveniently accessing health insurance information.
This project’s major purpose is to design and create a health insurance information system that will act as a platform for displaying health insurance information. Clients will be able to see and access the information. The claimed method will make it easier to obtain health insurance by streamlining the inquiry and transaction process.
- Web-Based Diary Management System
Web-Based Diary Management System is a capstone project intended for busy entrepreneurs. They’ll be able to use the system to electronically record internal and external meetings, as well as potential meetings, set reminders, highlight deadlines, and keep track of activities and tasks. The system is a cutting-edge platform that will help busy entrepreneurs organize and simplify their work schedules.
- Online Product Management System
The capstone project, “Online Product Management System” is intended to electronically streamline product management operations. Product management software has been increasingly essential in recent years as a result of its simplicity and efficiency in helping businesses to quickly develop and improve their goods.
The system’s deployment is extremely advantageous to businesses, particularly product managers. The online platform will enable product managers and their teams to work together to create and develop new products in a seamless manner. Organizations will be able to electronically collect new ideas and put out explicit strategies to turn them into a finished product using the program.
- School Management System
The researchers proposed the development of a School Management System with the overall goal of speeding up the enrollment process, beginning with student registration, enrolment, and assessment and ending with fee payment. This system’s key concerns include quick and easy transactions with a high rate of correctness.
The system is designed with a computerized registration and enrollment form. It allows users to fill out and electronically submit the enrollment form. It enables information retrieval on the administrator’s side. The system would keep track of student information, enrolment, fees earned and uncollected, and account billing. Except for the administrator, it cannot be edited or amended by other users (students, registrar, cashier, or professors) (the only one who has full access to the system).
- Patient Medical Record Keeping System
The project’s development progress is seen as advantageous to the hospital’s management, employees, and patients. Implementing an automated system will assist hospital management in gaining access to records with accuracy, accessibility, and security. It will also provide effective and efficient report processing, which is crucial for management decision-making. Implementing the system will assist hospital employees in providing services in a more organized, accurate, and convenient manner. Patients can obtain their records in a short amount of time by using an automated method.
- Online Courseware Management System
The Online Courseware Management System is a capstone project for students who are taking electronic courses and need specific course training. The researchers want to create an electronic environment for students to interact in during class. The system will make class materials such as course syllabuses and handouts available to registered students via electronic posting. Students will be able to post their papers and assignments for teachers or instructors to review on the online platform. Students and teachers can use a variety of features on the online platform to help with virtual learning and teaching.
- Web-Based Thesis Archiving System
“Web-Based Thesis Archiving System,” the capstone project, is intended to automate records management. The system made it easier to store, preserve, and retrieve undergraduate and graduate thesis for as long as they were needed. The focus of this system is on electronic record-keeping ideas that must be understood in the context of record information management, electronic record management, and other information technology features. Furthermore, this system is intended for the management and maintenance of records.
The major purpose of the project is to create an easy-to-use electronic thesis archive management system. The researchers want to ensure protection for the records, make it easier to check the students’ thesis records to see if they’ve previously submitted or not, and make information like the title, group name, and submission date accessible.
- Web Based School Management System
Every educational institution must have a solid management system in place. To automate management procedures, each school department employs a variety of software and computerized systems. “Web-Based School Management System,” the capstone project, is intended to automate school administration. Teachers, students, and records management activities and transactions, particularly enrollment processes, were all electronically processed through the system.
The suggested Web-Based School Management System is extremely effective in streamlining various school management processes. In comparison to manual enrollment processes, the system’s operations are faster, more efficient, and more accurate. The technology cuts down on processing time and human errors, and it makes it simple to search for records and generate reports.
- Online Records Management System
The capstone project, “Online Records Management System,” aims to make managing various types of records, such as project documentation, compliance documents, and email conversations, easier. The technology will streamline and unify procedures for efficiently processing business records.
Business organizations can gradually migrate to a paperless workplace with the deployment of the Online Records Management System, which is a step toward encouraging an environmentally friendly office environment. The proposed project will eliminate the physical administration of paper records as well as different time delays in locating essential records. It also allows management to have better control records being used in an organization.
- Web-Based Car Rental Application in PHP and MySQL
Owners of automobile rental companies are looking for a more efficient approach to manage the rental process, including customer check-in, payment methods, and real-time reports. As a response, the researchers proposed the creation of a “Web-Based Car Rental Application in PHP and MySQL.” The suggested project is a systematic approach to dealing with the business needs of renting automobiles to clients, storing vehicle records, creating real-time reports, and generally monitoring business transactions.
The goal of this project is to design and develop a web-based application to support the business’s car reservation or rental procedure, as well as to address issues with the present, manual approach. Customers can see the specs, details, conditions, and images of a car before deciding to hire it on the project car rental application, which is an online platform.
- Office Supply Inventory System in PHP and MySQL
Currently, the inventory of office supplies is done manually by the personnel. To maintain track of the information, a piece of paper must be filled out for each supply. This manual method was discovered to have numerous flaws, including the disappearance of supply records, the loss of office supply items, the in-out transaction record, and the misplacement of supplies. We computerized the procedure to make it more efficient.
The capstone project, “Office Supply Inventory System in PHP and MySQL,” is concerned with keeping track of all office supplies and equipment. This comprises a list of all supplies and equipment by category, a list of regulations, a list of borrowers and borrowed equipment, supplies received, and so on. The system’s deployment would protect all office supplies and equipment while also providing management with automated processes and electronic data records.
- Employee Clock Attendance System
“Employee Clock Attendance System,” the capstone project, was created to make it easier for employees to clock in and out of work. The system will make it much easier and more accurate to keep track of staff attendance. The person in charge of monitoring does not need to visit every office because, thanks to the system, employees are immediately recognized inside their designated stations. It is more efficient and convenient than manual processing.
The system will aid in the elimination of the manual time and attendance system, as well as the computation of each employee’s wage based on time and attendance data.
- Attendance Management System
The Attendance Management System is a capstone project designed to help firms track and manage their employees’ attendance records online. The project will make it easier to track how much time people spend working and how much time they spend off. The system is an online platform that allows employees to enter their hours for more accurate and reliable attendance records that can be used to calculate their pay.
- Car Wash Booking Application
The capstone project, “Car Wash Booking Application” is designed to assist car owners who do not wish to walk into a car wash station without making an appointment. The idea will simplify the process of reserving vehicle wash services and make it more convenient.
The project’s researchers want to solve automobile owners’ concerns about reserving car washing services by presenting a solution called Car Wash Booking Application. Car owners will be able to schedule car wash services in advance using the app. The program will assist car owners in avoiding long lines at car washes. It will assist them in reducing the amount of time and effort they spend only to get a car washed.
- Web Based Attendance Tracking System
This study concentrates on student attendance tracking. The researchers aimed to develop a “Web-Based Attendance Tracking System to serve as a platform to track and monitor students’ attendance in class. The system will improve the process of checking the attendance of the students and monitor their attendance every time they attend their classes. The list of the students will be stored in the system wherein the teachers will have access and will be in charge of tracking and monitoring the attendance of the students.
The system will improve the manual process of tracking and monitoring the attendance of students in school. The manual processes which are mostly done by hand are prone to human errors. The teacher may make a mistake in monitoring and keeping records of the students present in class. There is also loads of paperwork and it is very time-consuming. The manual process is very ineffective and outdated.
- OLX Like Application in PHP and MySQL
This study was conducted by the researchers to develop an OLX-like Application using PHP and MySQL. The researchers aimed to offer a platform wherein buying and selling of products are streamlined. This project will allow people to easily and conveniently connect to buy, sell or exchange used goods and services. The users of the application can browse or post items like furniture, instrument, and other product they wish to buy or sell, respectively.
The proposed application will eliminate the manual method of buying, selling, and exchanging goods and services. The application will be designed with a user-friendly interface, easy, efficient, and reliable to use.
- PHP and MySQL Ordering System
This study intends to improve consumer eating experiences by automating the meal ordering procedure in restaurants. In this work, we present the design and implementation of an automated meal ordering system for restaurants that includes real-time consumer feedback. Wireless data connectivity to servers is implemented with this system.
The project, which is written in PHP and MySQL, is designed to streamline and automate restaurant ordering systems. The order placed on a mobile device will be communicated to the main server. The main server is the counter server who is in charge of the entire system, including bill calculation, orders, and order delivery to the restaurant department from the servers. The restaurant is divided into two sections: the cashier’s department and the culinary department. The order will appear on the kitchen screen in the cooking department.
- Online Video Rental Application with Android Support
For entertainment, the majority of the world’s population spent their time viewing videos and movies. The majority of them rent videos from cable TV, which is difficult because they cannot obtain updates if they are away from home. As a result, the developers of the online movie rental application with Android support devised a better technique to bridge the gap between those who enjoy watching videos.
“Online Video Rental Application with Android Support,” the capstone project, is a mobile device application that allows them to rent movies and enjoy them wherever they are. This technology eliminates the need for them to worry about losing cable TV access because they can now stream online; all they need is a data server to rent and watch. What’s more intriguing is that it supports Android, which means that regardless of whether buyers/users have an Android phone, they may now freely access it.
- Scholars Information Management System
The primary goal of this research is to design, develop, and implement a mobile application that allows students/scholars to complete the essential requirements to be eligible for a scholarship program. Its goal is to eliminate the manual transaction procedure that relies on paper applications. The proposed application will benefit both students/scholars and the team in charge of managing scholarship applications and requirements.
The web and mobile scholar information system project will also function as a communication tool between management and scholars. The project’s development will also include the announcement of requirements and the process for obtaining financial assistance. The technology will assist scholarship members in accepting and transferring application forms to the city office on a timely basis. It will also assist them in keeping track of new and returning applications.
- Online Public Access Cataloguing
The capstone project entitled “Online Public Access Cataloguing” concentrates on integrating OPAC on libraries. The OPAC allows users to successfully find, identify, select and obtain resources in libraries. It will help users conveniently access resources without the supervision of librarians.
The OPAC aims to make library resources accessible to users. It will help users to access the resources they need without librarians or the need for personal computers. The users can easily find, identify, select and obtain their required resources which saves time and is also convenient.
- Web-Based Feedback and Comments System in PHP and MySQL
The capstone project, “Web-Based Feedback and Comments System in PHP and MySQL,” is a system that collects client feedback and comments to improve a company’s quality of service. Customers’ information, insights, and views regarding the company’s service and products will be collected by the system, which will be used to inform decision-making and improve the overall customer experience.
The goal of the study’s researchers is to develop a system that can be utilized by a variety of businesses to gather and manage consumer feedback and comments to improve customer service. This capstone project will close the gap between the company’s perceived value of its service and that of its customers. The system will gather vital client feedback to ensure that the company’s service never deviates too far from what the customers require. The company would no longer have trouble engaging with its customers for feedback after incorporating the technology.
- Online Discussion Application in PHP and MySQL
The capstone project, “Online Discussion Application in PHP and MySQL,” aims to create an online discussion platform. The concept is intended to allow businesses and schools to interact and connect electronically. The project’s major goal is to not only communicate with others but also to create a discussion platform where members of corporate or school organizations can post subjects or areas of concern to discuss.
The system saves all posted and discussed topics, together with comments and replies, so that if a user encounters a scenario, a problem, or a query for which he or she needs an answer in the future, the user can search or recover any relevant information.
- Hotel Reservation and Billing in PHP and MySQL
The capstone project, “Hotel Reservation and Billing in PHP and MySQL,” is intended to provide hotel employees, managers, and, most importantly, the hotel owner with an efficient, quick, and convenient method of recording customer (Check-in-Check-out) information. This will result in the current system being improved, as well as the establishment’s overall improvement. It must have a better program for the keeping and retrieve of their records. It will contribute to the success of the business and gain the trust of its customers.
This study is intended only for the Hotel Room Reservation and Billing System. The suggested application focuses solely on the check-in and check-out processes, as well as customer reservations. This research also includes hotel reservations. Data entry, viewing findings and reporting, retrieving data, billing, and printing are all activities that are involved. The manager, employees, and customers are all involved in the study’s implementation.
- Web-Based Point of Sale (POS) System
POS stands for Point of Sale in the business world. Business transactions take place at the point of sale (POS). The implementation of a POS system will boost the company’s productivity and efficiency. The rapid advancement of technology has resulted in the expansion of point-of-sale systems that offer additional capabilities that businesses may integrate into their operations.
The capstone project, titled “Web-based POS System,” was created with the business industry in mind. Businesses will be able to automate sales operations and track sales and inventory with the help of the POS system. Traditionally, business transactions have been conducted in person using manual methods. With the advancement of technology, the conventional method has become obsolete. To meet the needs and demands of customers, businesses must keep up with the pace of technological advancement.
- News Portal Application in PHP and MySQL
With the growth of information technology, the Internet has become a critical component of both local and worldwide connectivity. The power of computers makes it easier to distribute and see the information needed with just a few clicks as technology grows alongside the information revolution. The researchers chose to construct the News Portal Application as technology progressed. This project provides a practical method of delivering information to internet users.
The capstone project, “News Portal Application in PHP and MySQL,” is an improved version of the old approach of delivering news to the public via the newspaper. The News Portal Application is a web-based platform built with PHP, MySQL, and Bootstrap. The study’s goal is to develop an internet platform for people to upload and publish their news and articles. It is also intended to create an application that responds to the needs of users by doing an evaluation that will make it user-friendly for the community covered.
- Online Grading System with Grade Inquiry for Students
The proponents created a Grading System with Online Inquiry to track students’ Attendance, Quizzes, and Participation while also allowing parents to view their children’s grades. It is advantageous for faculty members to compute grades, and it is convenient for parents to enquire about their children’s grades.
The proponents’ goal in proposing this project is to define and analyze the problem that occurs in the manual process of calculating grades, as well as to provide solutions. The proposed approach will reduce faculty delays in passing grades to the registrar’s office, reduce faculty workload, and allow parents to readily enquire about their students’ grades.
- Web-Based Enrollment Management and Billing System
Enrollment systems are used to keep track of a student’s data. Traditionally, schools have used the manual method to manage student enrollment and billing. A school’s manual enrollment approach might result in erroneous student performance evaluations, lost student data, inaccurate reporting, and sluggish enrollment processing. Students will be perplexed as to what they should do and how they should go about enrolling.
As a response, the researchers aim to create a fast, accurate, and dependable computer-based enrollment system with billing for the School’s administration, faculty, and staff that will speed up the enrollment process, simplify and secure students’ records, reduce the enrolling officer’s effort in updating students’ information, provide a reliable record-keeping facility, and provides an accurate enrollment summary report.
- Online Crime Reporting System
The capstone project, titled “Online Crime Reporting System,” is an online platform that will allow residents to report a crime or occurrence using their computers, smartphones, or other mobile devices. The goal of this project is to create an online system that allows users to report crimes, occurrences, and complaints to police agencies directly. A centralized database is used to store and retrieve crime reports in the program. The researchers feel that by implementing this project, they would be able to provide superior service in terms of report speed and accuracy.
The study’s researchers intend to design and develop a responsive information system for crime reporting that can be accessed via a user’s personal computer, mobile devices such as a smartphone, and tablet. Monthly reports, feedback, report analysis, follow-up, and reporting are all part of the job. To automate the manual process of crime reporting and to provide a more efficient method of storing records.
- Alumni Information System
The Alumni Information System is a social networking system for academic institutions that entails the creation of an online database system that allows the alumni office to engage with their graduates. By developing a database for filing and giving information to alumni about their institution, the Online Alumni Information System keeps track of the school’s records.
- Web-Based Tabulation System
Events or competitions are very common, especially in school settings. In every competition, the tabulation process is critical. Tabulators used to manually calculate the scores and write them on a piece of paper, which was prone to mistakes. The tabulators must also devote time and effort to manually tabulating scores. Also, due to human error, score tabulation may not be accurate, or records of tabulated scores may be misplaced. The manual procedure is inefficient because it does not yield a very accurate and trustworthy contest outcome.
The capstone project, “Web-Based Tabulation System,” will automate score tabulation during events or competitions. The judges will be able to electronically enter their scores into the system, which will then automatically tabulate the scores and provide the contest results.
- Web-Based Payroll System using PHP and MySQL
To track work hours, many employers utilize a timekeeping system, such as clock time. This method is capable of distinguishing between regular and overtime hours performed. When it comes to payroll, all people will do is make updates and adjustments as needed. When time employees are fed into the computerized Payroll system, the latter rounds them up and down to the nearest quarter-hour. It determines the total number of hours worked and the amount of money earned. It reduces errors and saves time spent manually calculating time. If a person inputs their information into the Payroll Time System, the system calculates their earnings automatically depending on their input.
- PHP and MySQL Auction System
The Auction System is an online tool that allows auction administrators to list and categorize sale items, set beginning bids, generate guest lists and bidding sheets, correlate individual bids with specific products, and close the auction for processing results. The researchers devised a plan to design, develop, and execute an online auction platform that would allow buyers and sellers to deal electronically and securely, which would be more convenient and efficient than traditional auctions.
The researchers aim to develop an auction system that uses PHP as the programming language and MySQL as the system’s storage or database. An auction system is a public platform where anyone may publish an auction item, complete with an image, description, and other information, for other users to bid on.
- Music Library Application in PHP and MySQL
The capstone project, “Music Library Application in PHP and MySQL,” aims to computerize a traditional music library. The software contains and displays a variety of music-related materials for users to peruse.
The researchers’ main goal is to create, develop, and implement a Music Library app. The software shows and lets you manage music albums, singers, album types, and song tracks. The app will eliminate manual errors by providing an electronic library that is simple, convenient, efficient, accurate, and dependable.
- Web-Based Voting System
Web-based voting systems are becoming more common in elections around the world, owing to their popularity as a symbol of a country’s progress. The goal of the Web-Based Voting System is to provide cutting-edge technology that is both efficient (enabling electoral authorities to take advantage of the advantages of a computerized system) and practical (keeping the core principles that voters and election officials are used to). This system makes use of cutting-edge technology to allow election officials to finish the counting and canvassing operations in a matter of hours, rather than days. The scanning, counting, and co-counting processes are all automated by the system.
- Web Based Hospital Management System
The capstone project, entitled “Web-based Hospital Management System” was developed using PHP as the programming/scripting language and MySQL for the storage or database of the project, for the design of the interface, the researchers used Bootstrap for the frontend.
The proposed project will replace the current manual operation technique. The project’s major goal is to enable a paperless transaction. It also intends to provide low-cost, dependable automation of existing systems. In addition, the system provides excellent data security at every level of user-system interaction, as well as robust and reliable storage and backup capabilities. The researchers want to automate all patient information and hospital transaction information. For the convenience of both patients and doctors, a schedule of appointment functions should be included. The technology also allows for proper scheduling of specialty medical and emergency services so that hospitals may provide them.
- Dormitory Management System in PHP and MySQL
The Dormitory Management System project is a web-based system that was created and implemented using PHP, MySQL, and Bootstrap. The dorm owner had ordered that the project be completed to automate the dorm’s transactions. The owner outlined the transaction flow, which the developers subsequently translated into a technical format in the form of a data flow diagram, entity relationship diagram, and finally a prototype.
The main goal of the project is to automate the operations and transactions in a dorm. The implementation of the system will ease up and simplify the management of dormitories. The system is an effective tool to increase the operational efficiency of dorms as well as the overall experience of the tenants.
- Prison Management Information System using PHP and MySQL
One of the most difficult procedures in any business is record keeping. The folder and cabinet technique of storing and preserving information is used by the majority of police stations and the BJMP (Bureau of Jail Management and Penology). Although this manual method is effective, it is inefficient and time-consuming. The Prison Management System will solve issues and improve management performance, particularly in the area of records management.
The study’s major goal is to create and develop an information system that will aid in the organization of prisoner records. The researchers’ specific goals are to establish a system for proper record monitoring and preservation utilizing database technology, as well as a search tool to quickly locate records, develop an application to reduce paper effort, and provide record backup.
- Web-Based Entrance Examination Project
The capstone project, “Web-Based Entrance Examination Project” is designed and developed as a platform for a quick and efficient college entrance examination. A computer-assisted examination is proposed as a solution. The entrance examination will be conducted online, and the in-charge personnel will no longer compile a large number of examination papers. Students will also not need to bring any supplies such as pens or other similar items. They are just going to use the system to take their admission test. The traditional method of taking admission exams will be improved by this technique.
The project was designed and developed using PHP, MySQL, and Bootstrap. The project will be hosted on a secure server or computer unit, with only authorized users having access to the server’s physical and software components. The examination module is available on the PCs in the labs.
- Web-Based Class Scheduling System
The class schedule shows the subject, time allotment, days, room utilization, instructor, and class adviser. Every semester, the commencement of classes is delayed due to late posting of the class schedule due to scheduling conflicts, subject assignments, and room assignments. The department chairman, students, and instructors are always confronted with this issue. The process of creating a class schedule is called a class schedule.
The purpose of the study was to determine the academic institution’s methods and processes for preparing the class schedule, the difficulties students and instructors face in retrieving the class schedule in terms of speed, accuracy, and efficiency, the level of acceptability of current class scheduling, and the level of need for developing a Class Scheduling System. The Class Scheduler will assist the institution in creating an effective and straightforward class schedule, as well as assisting students and instructors in quickly verifying their class schedules.
- Inventory Management System in PHP and MySQL
The capstone project, titled “Inventory Management System in PHP and MySQL,” aims to automate the inventory management process. PHP, MySQL, and Bootstrap are used by the researchers to create the project. The said project is an online platform, which implies that transactions can be accessed via the internet or a local area network.
The researchers design the project having two types of users; (1) an administrator account that can access all of the system’s features, make any necessary changes, and perform database and system maintenance; and (2) a staff/cashier account that can only access product encoding and perform sales transactions but not modify or delete records. The system offers the ability to generate reports (daily, weekly, and monthly), as well as decision support services that can provide a prediction report based on sales, records, and customer purchasing history.
- Facebook Like Social Networking Website
The researchers’ main goal is to create a social networking website akin to Facebook. The researchers want to create a social networking website that would help people connect and grow their relationships. The researchers have a clear goal in mind: to create a visually appealing social networking platform. The colors and fonts will not strain the user’s eyes and will not deter them from staying on the website for long periods.
The capstone project, “Facebook Like Social Networking Website,” is a social networking platform that is similar to Facebook. The initiative focuses on establishing a relationship between the system’s target users. The platform will provide a simple, quick, and convenient experience.
- Web-Based Loan Management System
“Web-Based Loan Management System” is an online platform created and developed in PHP, MySQL, and Bootstrap to automate the manual process of loan management by storing and organizing records in a database-driven application. The system’s main functions are to enable a quick, accurate, and secure transaction between customers and management. The system may handle payments and accounting, contract management, report generating, and SMS or text alerts, among other things.
This system’s deployment is critical for business because it will aid in the recruitment of new members. This can save time and aid in the tracking of inbound and outbound transactions. This system can also generate reports and provide backup records for all transactions as necessary.
- Online Real Estate System (buy and sell property)
The capstone project, “Online Real Estate System,” aims to streamline the entire process of running a real estate property firm. With the primary functions of property posting, financial transactions, and a communication channel between agents and clients, the project was designed and developed in PHP, MySQL, and Bootstrap.
The project’s major goal is to design and develop an online platform that allows buyers and sellers to communicate with one another. The project’s goal was to provide a gateway for buyers and sellers looking to invest in real estate, as well as to give accurate reports on property sales, rentals, and other transactions, as well as a tool for speedier and more trustworthy transactions between sellers and buyers.
- Web-Based Water Billing Application
The capstone project,” Web-based Water Billing Application” is an online project that allows water district administration to post each customer’s bill as well as any other water billing operations such as customer information, service record module, and statement of accounts.
The web-based system is accessible to the organization’s administrators and other employees, as well as the water district’s consumers. Customers can only examine their payment history and billing information, while the administrator has access to all of the project’s modules.
- Web-Based Assessment of School Fees
Currently, the school uses a manual approach for evaluating students and collecting payments. This caused too much inconvenience for the students because they had to queue, wait for a few minutes or even an hour for their payments and assessments to be reviewed by the employees in charge. For both sides, this wastes time, effort, and sometimes even materials. That’s why a group of researchers has proposed a “Web-based Assessment of School Fees System” to assist both sides in dealing with the issue. This technology will improve the faculty’s service to its clients by making it faster and more accurate.
This research aims to develop and replace the school’s manual assessment and cashiering system with an automated system. The researchers want to figure out what problems can arise when utilizing a manual assessment and cashiering system, why there is a need to switch from a manual to an automated system, and what the advantages of the Web-based Assessment of School Fees System
- Web-Based Computer-Aided Instruction
The use of a computer to offer instruction is known as computer-aided instruction. The format might range from a simple application to teach typing to a complicated system that teaches new keyhole surgery methods using cutting-edge technology. Learning, cognition, and Human-Computer Interaction (HCI) are just a few of the topics that CAI draws on. The field of CAI reflects many of the fundamental themes in CALL.
The capstone project, “Web-Based Computer-Aided Instruction” helps teach or encourage interaction that can be presented on computers in the form of text or in multimedia formats, which include photographs, videos, animation, speeches, and music. The guided drill is computer software that asks students questions, gives them feedback, and then selects new questions depending on their answers. In addition to subject matter expertise, recent guided drill systems incorporate educational principles into the computer software.
- Online Appointment Application in PHP and MySQL
This PHP and MySQL Online Appointment Application focuses on doctor’s appointments. The app is a web-based platform that allows customers and patients to register their data online. They can now log in and request an appointment with their doctors after their account has been approved. Between the doctor and the patient, the admin will act as a liaison or secretary. The system’s records can be managed by the administrator.
PHP, MySQL, and Bootstrap were used to design and create the system. Our team is eager to assist you in modifying the project to meet your individual needs.
- Web-Based Transcript Processing System
The manual request for a student’s academic record takes far too long. The records are held in the typical file/folder-cabinet method, which means they are not secure. Students/graduates must go to the registrar’s office to request their records, which is a time-consuming process for them. In general, the current system has failed to meet the demands of its users.
To solve the aforementioned issues, it is suggested that the manual/old method be phased out in favor of creating and implementing an automated one. The Web-Based Transcript Processing System was created as a result of this. Students and the registrar’s office will be able to transact online using the web-based system. Students can obtain their transcripts of records electronically, and registrars will provide them with the transcripts that are available and valid for printing.
- Online Shopping Cart Application
The developers of this study create an online store application that reduces the customer’s effort and time, as well as their wandering. As a result, the administrator may track the customer’s order and prepare for it, as well as deliver it if necessary. Furthermore, the developer must construct a fully automated, user-friendly, time-effective, and well-organized system for this investigation.
The study’s goal is to design, create, test, and implement a system that will assist the organization in increasing sales by establishing an online store application. In terms of development, the application offers a unique perspective.
- Event Registration Application in PHP MySQL
The capstone project “Event Registration Application in PHP and MySQL” automates the process of registering for an event. Without an effective system for event registration, the organizer may have a tough time organizing all aspects of the event in a coordinated manner. Physical restrictions and time constraints may prevent the traditional manner of event registration from being completed.
With the implementation of the automated system, event registration will be seamless. Those who want to attend an event can use the program to register quickly and easily. On the organizer’s side, they can effectively handle and attend to client registration, which will help their event succeed. The software is simple to use, convenient, and effective.
- Online ELearning System in PHP and MySQL
The “Online ELearning System in PHP and MySQL” is an educational institution-specific online platform. Teachers’ and students’ teaching approaches and learning processes will be transitioned by the system. Teachers will be able to upload their learning materials and administer quizzes to assess their students’ progress. Students can sign up for the system to have access to their teachers’ learning resources. Students can take the quizzes, and the system will record their results, which their teachers can access.
The system is an online platform created with PHP, MySQL, and Bootstrap. PHP is a programming language for creating dynamic web pages, MySQL is a relational database, and Bootstrap is a front-end framework for making web development faster and easier.
- Online Science eLearning System in PHP and MySQL
The capstone project, “Web Science Elearning System,” is an online platform created with PHP, MySQL, and Bootstrap. PHP is a programming language for creating dynamic web pages, MySQL is a relational database, and Bootstrap is a front-end framework for making web development faster and easier.
Teachers will be able to upload their science lessons to the Science Elearning portal. The teacher can now add quizzes and questions to the lessons after they have been posted. Only students who have registered in the system have access to the learning materials and may participate in the lessons and tests. The system offers a versatile platform for engaging students in science study.
- Web-Based Bus Ticket Application in PHP and MySQL
The project is a web-based application using PHP, MySQL, and Bootstrap. The Bus Company, drivers, and passengers will benefit greatly from bus ticketing and seat reservations. The major goal of this project is to use the established web platform to automate the ticketing process and seat reservations.
The bus terminal would have a speedy, quiet, and simple means of giving good and hassle-free services to their consumers as a result of this proposed study. In terms of payment, customers will either print the ticket after making an online reservation and submit it to the bus cashier, or they may pay through Bayad centers. This system also provides solutions to problems that are encountered.
- File Management System in PHP and MySQL
A file management system is a file system for organizing and tracking files. Users do not need to go through network folders; instead, they are offered fast results and a system that allows them to access data from anywhere on the Internet at any time. Faculty and student data will be lost less frequently or completely due to the Web-based File Management System. Content or files can be managed, edited, shared, and approved by faculty and students.
The web-based system will be utilized primarily for efficient and quick file uploading and downloading, as well as providing a solid backup. A user management system and online help have been added to the Web-based File Management System’s functionality. As a result, with the advent of technology, it is critical to have quick access to and management of information. The suggested system’s major goal is to create an organizing tool that will help instructors and students with filing, storing, and retrieving paper and electronic documents.
- Attendance System in PHP and MySQL
“Attendance System in PHP and MySQL,” the capstone project, is meant to help businesses track and manage their employees’ attendance data online. It will be easy to track how much time people spend working and how much time they spend off as a result of the initiative. Employees can submit their hours on an online platform for more accurate and trustworthy attendance records that can be used to compute their pay.
For firms where employees are paid hourly, deploying an Attendance system is incredibly beneficial. The system will automatically determine the exact wage of the staff.
- Computerized Electricity Billing and Payment System
One of our most basic needs in life is electricity. In our house, we use electricity for a variety of purposes. Along with its importance in our lives, it is also critical to pay bills on time so that we can enjoy it without interruption. To avoid such a disruption in electric power supply, the researcher of the suggested study, Online Platform for Electricity Billing and Payment System, wanted to develop a system that eliminates standing in line to pay bills. Paying bills online has never been easier thanks to the system. Users of the system will be able to pay bills at any time and from any location, without having to worry about missing a payment deadline. The researcher of the study will provide a system that is fast and reliable when it comes to payment services.
The suggested system will gradually phase out the manual payment of invoices. Users will simply use the system to pay their bills straightforwardly. The technology will give them options for paying their debts. Both the administrator and the user will benefit from the system. It will be very simple for administrators to manage payments from various clients. The technology will reduce their paperwork as well as the risk they may face throughout their operations. Paying bills does not involve actual presence on the part of the user; all they have to do is register in the system and pay their bills quickly.
- Online Ticket Booking Portal
People nowadays prefer to use technology to make their lives easier. People have always desired to complete tasks as quickly as possible. The booking of tickets is one of them. They would most likely use a method that would assist them most efficiently. In addition, the researchers behind the Airline Ticket Reservation system wanted to provide travelers with a platform where they could buy their tickets in advance in a quick, accurate, and hassle-free manner. The system has two sides: one for users and one for administrators. The clients who are looking for available flights are the users. The administrators are in charge of keeping track of flight schedules for certain cities.
- Contact Manager Application
The “Contact Manager Application” is a capstone project that allows users to find and save contact information quickly and conveniently. Users will be able to save contact information such as name, phone number, and address in the app. This program will save contact information in a database for safekeeping and retrieval. The software will make it simple to keep track of all data and communication activity related to a single contact. The application is simple to use, convenient, efficient, and dependable.
- Online Dental Clinic Automation
Some substantial inaccuracies are unavoidable because of the manual process. Patients Dental Record System is a type of system that will significantly boost medical staff productivity. It gives advice and helps people make decisions to avoid mistakes and improve service quality. This system can also enable quick data retrieval, record keeping, a quarterly and annual graphical health record report for decision making, and real-time records for management.
The use of Online Dental Clinic Automation could assist the school’s dental clinic in developing new engagement and health programs that provide precise and valued services to the organization.
The project entitled hospital management system was created with PHP as the programming/scripting language and MySQL as the project’s storage or database. The researchers chose Bootstrap for the frontend interface design.
The proposed project will replace the current manual operation technique. The project’s major goal is to enable a paperless transaction. It also intends to provide low-cost, dependable automation of current systems. In addition, the system provides great data security at every level of user-system interaction, as well as robust and reliable storage and backup capabilities.
- Online Library Management System
Now a day, through the advancement of modern technology, there are a lot of fast and reliable alternatives for research. However, the library continues to play an important role in the lives of students and researchers. The library is still thought to be the most reliable source of information. Undoubtedly, people who do not have access to the internet or even electricity rely solely on books. Libraries also have access to information that isn’t available on the Internet. The library is still the cheapest and most accessible place to conduct research. When it comes to gathering information, gathering information still plays a vital role.
This system is being developed for the librarian to have access to all of the books that a student has borrowed at the school. We also know that this generation has become accustomed to living with technology and has implemented this system. After interviewing with the help of the students, we discovered the following issues in the library: when borrowing and returning books, the librarian manually records information such as name, date, and year using a pen, which takes time.
- Web-Based Visitor Log Monitoring System
The Bureau of Jail Management and Penology (BJMP) is employing a conventional method of recording visitors’ names, which will aid jail officials in securing BJMP facilities.
The goal of this study was to design and construct an automated monitoring system for BJMP that would monitor visits, produce accurate and trustworthy reports, and raise public knowledge of BJMP’s safety guidelines. For data safety and data backup on any machine, the monitoring system can be made accessible to personnel and authorized users of BJMP. Only registered users have access to the automated monitoring system’s various features and functionalities. Log-in and log-out services, Visitors Information, Administrator System, database backup, visitor list, and statistic report will be among the system’s features.
- Online Customer Complaints Application
The Online Complaint Management System is a capstone project that will act as a platform for dealing with complaints and resolving conflicts. The technology allows users to solve problems in real-time, whether they are from the public or from within the company. The system will make complaints easier to coordinate, monitor, track and resolve.
The current method of handling complaints is manual and involves a lot of paperwork. The traditional method takes time for both the complainant and those who respond to concerns. Complaints are difficult to track, manage, and address. The current manual process is deemed inefficient, particularly in terms of responding to complaints fast. Both parties must devote a significant amount of time and effort to filing and respond to the complaint.
- Web-Based Hostel Management Syste m
Records are valuable because of the information they contain, and that information is only useful if it is documented correctly and legibly in the first place, is maintained up to date, and is easily available when needed. Hotel records are rarely found in archives, but when they are, the information included in the records is useful to a range of researchers, including students, genealogists, and academics.
This research intends to provide employees, managers, and notably owners of hotels, pension houses, and apartments with an efficient, quick, and comfortable method of tracking customer interactions. This will result in the current system being improved, as well as the establishment’s overall progress. It will add to the company’s success as well as its customers’ trust.
- Online Student Information System
The “Online Student Information System” initiative was created to assist Guidance Office personnel, such as the Registrar and teachers, in managing all of the sensitive records of all high school students.
The student’s data could include anything from personal information to grades or dropout records, as long as it is saved or accessed on a computer. Using an information system can help organize data and keep track of the number of students in each school year in a structured fashion. A student information system gives teachers, guidance counselors, and registrars essential tools for automating common activities in the classroom. The administration of a student’s record provides a framework within which recordkeeping activities can be efficiently performed to create and manage records for as long as they are needed, as well as give information system decision support.
- Web-Based Baptismal Information System
The researchers behind the Web-Based Baptismal Information System wanted to provide a platform where users and administrators could conduct transactions and processes online or electronically. In terms of baptism, client information is critical, and employing this system that allows for fast filing and data storage would be a fantastic tool and safeguard for the client’s information. Having a growing number of clients and a significant amount of data will not lead them to lose data, will not make them feel overworked, and will leave a positive impression on churches regarding their services. Clients will also be satisfied with this system because it is user-friendly.
The end-user and churches were given a demonstration of the planned web-based baptismal information system. One of the group’s researchers gave a questionnaire to answer the question, as well as clarification and challenges experienced when using the system. A web-based baptismal was created to address the issues that the present system had. If implemented, there will be no difficulty or error on both the admin’s and users’ sides.
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CAPSTONES: ACTION FOR YOU, LEARNING FOR US
At Heinz College, we believe experiential learning is more than a buzz term. The application of coursework to real-world scenarios, the "Capstone Project" experience, is central to our students’ education. For you, as a capstone sponsor, it means a team of very bright graduate students addressing your business problem with a technology solution, contributing to your mission and your success.
What's a Capstone Project?
- Project team of 4 - 6 talented masters' students from the #Top-ranked institution in the country for Information Systems and Analytics Education.
- Led by a Heinz College faculty member with subject matter expertise
- Projects last 15 weeks (Fall, Spring, and Summer semesters)
- No Fee—Scholarship Gift instead. We invite our capstone sponsors to make a philanthropic gift in support of the Heinz College Sponsors Fellowship fund; gifts of $10,000 or more qualify your organization for recognition through Heinz Corporate Partners program
- Check out testimonials from some of our project partners, below.
How does a capstone help my organization?
- Share use cases and data with the capstone team to create a customized technology solution
- Receive a license to use the team’s work product in your organization; solutions are designed on your platforms
- Create a talent pipeline through student engagement
- Collaborate with a Heinz College faculty expert leading the project
- Build your brand across Heinz College and CMU
- Potential to advance your project to phase two (Capstone+)
Capstone projects are designed to bring innovative, out-of-the-box thinking to technology problems. We're here to help you determine which path is the best fit for your organization.
Do you have a capstone idea you'd like to discuss? Are you ready to take action? Not sure where to start? We want to help! Click the appropriate link to the right to get started.
Timeline and Deadlines
- Summer Semester: Proposals due April 30
- Fall Semester: Proposals due July 1
- Spring Semester: Proposals due November 1
- Let's Talk About My Capstone Idea
- Questions RE: process or agreements?
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Learn More and Submit a Project Proposal
- Allegheny General Hospital . Development of a text analytics platform that streamlines communication between first responders and the emergency room
- Allies for Children . Optimization of meal delivery routes to better serve food insecure families during the pandemic and facilitate program expansion
- Bayer . Predictive model to help forecast and respond to supply chain disruptions
- Buchanan Ingersoll Rooney. Development of a predictive model to optimize retention and established guidelines for success in hiring attorneys to the firm
- Chevron. Create a method of data storage optimized for security and cost
- Comcast. Develop a demographic data visualization tool to optimize efficiency and marketing budget
- Daimler Trucks North America. Creation of model to automate trucking fleet departures
- Deloitte. Helping the U.S. government implement blockchain technologies by analyzing security standards
- Google. Analysis of how Google's customers develop brand perception and sentiment
- Green Edge Technologies. Create an interactive tool to identify accessible, equitable locations for electric vehicle charging stations throughout the city
- Hershey. Predictive models to optimize 1) supply chain and 2) sales related to product placement
- Highmark Health. Analysis of value-based reimbursement program and its effects on patient care and cost outcomes
- PA Department of Community and Economic Development. Automated and streamlined innovation data collection and created a dashboard to make data easily accesible to policymakers and agencies
- PA Department of Transportation. Creation of a predictive model to visualize predictive risk for bridge wash-outs and flooding
- Pittsburgh International Airport . New IT infrastructure plan to improve connectivity as well as passenger experience
- PNC. Development of a time-series dashboard scoring method to identify and predict data breach risks
- PwC . Market analysis of blockchain technologies and products, defining risk frameworks for key sectors
- RAND. Analyzing post-opioid market distribution to inform future policy
- Sony Home Entertainment. Used machine learning to discover customer segments previously unknown to executives
- Tata Consulting Services. Created predictive model through analysis of customer journey in e-commerce buying patterns
- Merck . Improvement of Next Best Engagement model for sales reps, analysis of fairness in current model
- The Museum of Modern Art (MoMA) . Mined visitor patterns to understand preferences of local NYC residents
- U.S. Army/NETCOM . Developed novel cloud-based anomaly detection capability for cyber threats
- U.S. House Committee on Homeland Security . Recommendations on improvement of cyber policies across federal agencies
- World Economic Forum . Building a portal to up-skill workers for the new economy
- Xometry . Predictive machine learning model that improves lead qualification in client's on-demand manufacturing marketplace
Information systems capstone projects frequently fall into these categories:
- Data stacks
- Data integration
- Software engineering
- Current v. future state – business process
- Integration/model design
- Machine-learning (ML) prediction models
- Supply chain optimization
- Factory floor machine health using predictive models
- New service offerings using data
- Feature engineering
- Apps, databases, dashboards, knowledge graphs
- Predicting customer behavior with ML models
- Predicting sales with ML models
- Predicting inventory and supply
Moving Up the Innovation Scale Toward IP and Commercialization
How is Capstone+ Different Than Capstone?
- Initial solutions and models are built in capstone projects; Capstone+ projects are a potential next phase for continued development of the initial solution.
- Capstone+ projects are elevated from student research to faculty research ; often the capstone faculty advisor will lead the Capstone+ project as a sponsored research project.
- Capstone+ provides shared IP and ownership, where the client receives first access to the research results before faculty publishes.
- This IP/ownership allows the client to apply new research early to result in marketplace advantage .
If Capstone+ might be the right fit for your organization, please reach out to Olivia Cerniglia so that we can start a conversation!
- Acram Group
- Allegheny Conference
- Allegheny County Department of Human Services
- Allegheny County Port Authority
- Allies for Children
- Bayer Crop Science
- Bayer Healthcare LLC
- Bayer Radiology
- BlueTriton Brands, Inc.
- Brookings Institution
- Buchanan Ingersoll & Rooney PC
- Capital One
- CGI Federal
- Chubb Corporation
- City of Pittsburgh Department of Planning
- City of Pittsburgh Public Schools
- City of San Francisco PUC
- Concepta Innovation Services, LLC
- Confirmed, LLC
- ConsumerOptix, LLC
- cPacket Networks
- Dayton Live Arts
- Daimler Truck North America/Torc Robotics
- Easter Seals
- Eaton Corporation
- Federated Hermes
- Footbridge for Families, Inc.
- Foresite Cybersecurity
- Green Edge Technologies, Inc.
- Health Information Exchange
- Hoom Inc./Home.LLC
- Idea Foundry
- Institute for Critical Infrastructure Technology
- Institute of Electrical and Electronics Engineers
- Jewish Association on Aging
- Komatsu/Joy Global Underground Mining LLC
- Make It Home Safe
- Manchester Bidwell Corporation
- McKinsey & Company
- Merck and Co., Inc.
- Merck Sharp & Dohme
- Motif Research, Inc.
- Mt. Lebanon Commissioners Office
- National Center for Educational Statistics
- National Geospatial-Intelligence Agency
- National Head Start Association
- National Security Innovation Network
- New York Mets
- On Site Opera
- Open Government Partnership
- PA Commission on Sentencing
- PA Dept. of Community & Economic Development
- PA Dept. of Labor & Industry
- PA Public Utilities Commission
- Philips Respironics
- Pittsburgh Area Cooperative of Theaters
- Pittsburgh Business Group on Health
- Radiant Hall
- Santandar Group
- Sparrow Health System
- Tata Consultancy Services/TCS
- The John F. Kennedy Center for the Performing Arts
- The Mattress Factory
- The Pittsburgh Foundation
- TORC Robotics
- UPMC Children's Hospital of Pittsburgh
- US Army A12C
- US Army NETCOM
- Verizon Business
- Vobile Group
Please review the capstone sponsor agreement templates linked below to determine which version is appropriate for your organization. Once your capstone project proposal is accepted, CMU will issue one of these customized agreements for your organization’s counter-signature.
- Standard Education Project Agreement with NDA [template] — this agreement offers license to the student work product; requires indemnification
- Letter Agreement [template] — this agreement does not require indemnification but offers no license to the student work product; mutual research partnership
Questions? Please contact Olivia Cerniglia at [email protected] .
If you have any questions/issues with the form below, please contact Olivia Cerniglia - Assistant Director, Corporate Relations at [email protected] .
Check out what some of our project partners have to say about working with CMU graduate students on a capstone project:
I was extremely pleased with the outcomes from the capstone project my company worked on with Heinz College students. They were energetic, bright, and driven and were able to achieve results over and above what was outlined in the initial scope through their dedication and outside-the-box thinking. NATHAN PETERSON, GLOBAL INVENTORY, FORECASTING & CEP MGR., KOMATSU
Get Concrete Results
Over a 15-week period, our client partners get more than a thousand hours of dedicated, focused work by a team of talented master’s students who are led by a faculty expert advisor.
I think the topics themselves are definitely things that are very relevant today and even more tomorrow, and it was refreshing to see that the students actually went and looked at the pain points of what makes these topics so interesting. Marcus Perez Cervantes, Senior Manager - User Experience, Google
MAKE IT HOME SAFE, LLC
Founder and CEO Carlton Vreen talks about the impact of working with Heinz College graduate students on the Make It Home Safe capstone project.
The CMU students I worked with were highly creative, taking initiative and providing very high-quality work. Their strong acumen and thirst for learning made a huge impact on the success of the project. ASNEE FERNANDO, CEO, SHOPTAKI INC.
Capstone sponsors work with a team of talented graduate students and faculty advisor to address a business problem with a technology solution, contributing to the client's mission and success.
The students brought a combination of both qualitative and quantitative analysis. They brought a lot of energy and also the ability to listen and to try to sort of create policy almost from scratch. Anthony F. Pipa, Senior Fellow, THE BROOKINGS INSTITUTION
SOLVING COMPLEX PROBLEMS
Our graduate students bring both quantitative and qualitative analysis skills to complex, systemic problems.
I was impressed with the student’s interest to learn our business and the skills they brought in to the project. They were dedicated, listened, understood the problem statement and had a clear understanding of the solution. They presented their work and the progress in a timely manner. JEBA JOTHIMONI, PRINCIPAL SOLUTIONS ARCHITECT, AIRES
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Informati on Technology Capstone Project I deas
An Information Technology Capstone Project is a culminating project that information technology students are required to write at the end of their course. Essentially, the project gives students a chance to showcase what they have learned throughout their studies and apply the knowledge and skills in writing the capstone project.
However, you will require taking a unique project to do this, something most students find difficult to find unique Information Technology Capstone Project Ideas.
Recommended: Assignment Help Experts
Coming up with a workable information technology capstone project idea is essential to your successful writing of the project. Settling for an idea that you have little knowledge and hope to finish can cause you substantial problems. Therefore, finding the right IT capstone project idea is such a crucial step towards writing a perfect paper.
However, selecting an IT capstone project idea doesn’t have to be a nut-breaking ordeal, right? With our support, you can get the help, advice, and guidance you need to make your IT capstone project topic selection a breeze.
With expertise, we can guide you through the process of selecting your topic to write the project. All we do is ensure your information technology capstone project writing is a success!
If you need any help with your It capstone project, check out our Affordable Capstone Project Help Writing Service
How to Choose the Best Information Technology Capstone Project Idea
The best IT capstone project idea is one that solves the real problem and provides benefit to someone. However, developing this kind of idea is not as easy for most students. As a student, you need an idea that will allow you to demonstrate not only your research skills but the ability to critically think around the concept that is relevant to your area of study.
But the question is how can you come up with this topic idea for your information technology program? Well, you can get started by doing the following:
- Keep track of all your complete coursework notes and papers such as essays and term papers that you have done throughout your course. These materials might present you with an excellent capstone project idea that you can work on.
- Ponder on your working experience or personal project that you have done previously for inspiration and problems that may require solving.
- Read extensively in areas that interest you. These could be materials and papers that highlight areas that need more research and study or those that look weak and require clarifications.
- Think through your education plans and career to figure whether there is something relevant to your future career as an IT expert that will elevate you to an excellent position when searching for a job.
- Comprehensively read through the IT articles and journals to see whether you can capture what idea is new in the world of IT. Pay more attention to what is trending in the IT world and you can’t miss grabbing one or two ideas to base your capstone on.
- You can also scan through different IT materials and various capstone projects that have been written in the past by students in your course. You don’t have to copy their ideas but you can collect valuable ideas that are workable for your capstone project.
When it comes to choosing an idea for your IT capstone project, always go for an idea that you feel passionate about, or an idea that has meaning to you personally or career-wise. It is also beneficial to choose a relevant to your work environment or area of experience. With this, you will be in a better position to interpret and answer your research questions and use the project as part of your professional collections.
What Goes Into the Best IT Capstone Project Ideas?
Before you delve into searching for ideas for your IT capstone project ideas, you must understand what goes into the best IT capstone project idea or what makes the topic exceptional. Essentially, if your topic idea isn’t good enough, it will be difficult for you to write a successful IT capstone project.
So, when you are selecting your capstone idea, you need to ensure that it is:
- Relevant : Whatever idea you intend to pick, make sure it is relevant to the IT field. That way, you will be able to demonstrate what you have learned, the skills and experience you have earned throughout your program. Contrary, you won’t be able to attain a good grade out of your capstone project and consequently fail to graduate.
- Original and Unique : Writing about an idea that is unique and original will enable you to contribute knowledge, experience, and help solve a problem in the IT field. Besides, writing an idea that has already been written and researched by many may not be exciting to anyone. As such, look for an idea that is unique, original, and new in the IT field and writing a winning project from it.
- Availability of resources : It can be challenging to write about a topic that is limited to sources and materials to support it. Pick an idea that will allow access to several materials and resources that are within your reach. Besides, writing about such an idea will show you confidence in the topic and the entire concept, thus making the most out of it.
- Can be completed within the deadline : Don’t choose an idea that will require more time to research and write what is provided. This often happens when you choose a wide topic or one that is too difficult for you to complete within the deadline. To avoid this, it is important to go for a topic that is narrow for you to write exhaustively without any challenge and within the deadline.
- Beneficial : What does the capstone project idea add to the knowledge in the IT field? Does the topic idea add substance to your area of specialization or area of interest? If the topic you intend to write about doesn’t have any of this, then consider choosing a different idea that makes a significant contribution and captures the interests of professionals in the field of information technology.
- Can you define the idea well enough : When choosing an idea for your IT capstone project, make sure it is one that you understand and write well about it. Bear in mind that a poorly defined capstone project will lack focus thus leaving you beating about the bush with nothing to discuss.
Outline for Information Technology Capstone Project
Most capstone projects follow the same outline when it comes to writing, but you should always check with your instructor for guidance on which outline is required for your IT capstone project. There are specific outline requirements as well as specific structural requirements that you require following.
You must follow the instruction given by your instructor or professor to get the most out of your IT capstone project. A typical IT capstone project outline will cover the following parts as detailed below:
The title usually contains your project title, name, and course number, and your supervisor’s name. The title page needs to be well-formatted as per the instructions for IT capstone project requirements.
The abstract contains the full summary of your IT capstone project and should be around 150 to 250 words in length. It should summarize all the aspects of your capstone project while giving an excellent idea of what the project is about. It has to be written briefly and accurately.
3. Table of Contents
Just as the name suggests, it entails a list of what your project contains with the appropriate page numbers included.
The introduction section usually introduces your project idea and why your problem has to be solved. Towards the end of the introduction, be sure to include the thesis statement of the problem that you intend to solve in the project through research.
5. Problem Description
Under this section, you are required to give more details regarding your problem statement that you intend to solve. Make it clear how the project seeks to address the problem and what is the ultimate goal and scope of the project is.
6. Literature Review
Under the literature review section, you are required to give a brief background to the project with relevant sources to other works in that field. However, your sources should be up to date and reliable. Normally, you will require providing a broad background to the research while focusing on your specific problem.
In this section of the project, you need to cover what methods you have used for your research. Provide more information and detail about how you conducted your research for others to be able to imitate it would they want to.
The conclusion section will only contain the discussion on what you have discovered from your research about the project topic and summarize the main findings. The conclusion will also show why the results matter, what lessons have been learned, and the next step to be taken.
For any academic work that entails research, references come in handy. References play a role in making your work authentic by backing your facts and information with relevant sources. Any source used in the in-text citation has to be listed on the reference page as per the requirements of the academic style use.
This section will contain any information that can be useful to the reader. The information may include questionnaires and tables of data that are not included within the text of your project content.
Guide to Writing a Perfect Information Technology Capstone Project
Here is a step by step guide to writing a winning IT capstone project. By carefully following these steps, you can guarantee to write a high-quality capstone project. Check out the tips!
Choose Your Capstone Topic
When it comes to choosing your topic, make sure it is one that is suitable for an IT capstone project and is feasible. To come up with a workable topic idea, brainstorm ideas from the following:
- Previous academic work and projects that you have written
- Researching in areas of your interest
- Look for problems that you have identified in your work experience
- Scan through topics lists like the ones we provide.
Write a Proposal
Before you settle down to write your capstone project, it would be important to write a proposal first and submit it to your professor or instructor for approval. Your instructor will want to check the following in your chosen project:
- Feasibility : The topic idea for your capstone project must be feasible in terms of time and resources available to you.
- Unique : The idea has to be original and unique in a way that it solves the problem it intends.
- Important to the field : Your capstone project idea has to solve a real-world problem in the field of IT.
- Well defined : The problem statement and the goals to be achieved have to be well-defined.
Tips for Writing a Winning IT Capstone Project
- Get a clear understanding from your instructor : Your instructor will provide you will all the requirements needed for writing your capstone project. You must understand the structure and format required and what is expected of you.
- Have a plan for your project from start to end : With a comprehensive plan that has milestones, you will move your project writing step by step to completion.
- Have an outline for your project : Mapping out every section of the project will provide you with a clear view of how your project will look like upon completion. Besides, an outline will help you identify issues at every stage early enough in your writing.
- Collect relevant and reliable sources : The library can offer you the most reliable sources in terms of journals, articles, and literary works for your project. Don’t rely on overused sources from the internet. But if you do, make sure you use a scholarly search engine.
- Consult your instructor regularly : That way, you will get the much-needed help to ensure you remain on track with what is expected of you when writing your IT capstone project.
Top Information Technology Capstone Project Ideas
1. online grading system with online and sms grade inquiry.
This capstone project idea can be used by teachers or instructors to encode exam grades. For example, the teacher or instructor may enter the Midterm, and Endterm grades for each student and let the system generate the final grade and send it as SMS to each student. The iTexMo SMS API will be used for the SMS feature in this capstone project.
3. GSO Inventory System
This is the IT capstone project idea intending to monitor the supplies and equipment of the general service office.
4. Web-Based Accounting System using PHP, MySQL and Bootstrap 4
Also known as balance sheets, accounting is a process of monitoring credit and debit. Since this idea is web-based, it can be developed in MySQL and PHP with Bootstrap 4.
5. Student Information Management with Decision Support System
This idea aims at coming up with an app that records and stores student’s info for archiving purposes. A decision system may include the number of students in the program, the year, and where they reside, if possible a city.
6. Hospital Management System in MySQL and PHP
This project idea will enable the creation of an app that allows record-keeping of patient information, the doctor’s schedule of appointments among other relations. It is a web-based platform and can be referred to as the Hospital Management System.
7. Web-Based Classified Ads Application
It is an IT capstone project idea that will allow you to develop an online platform that will enable advertisers to post ads to promote their products and services online. However, you will require using MySQL and PHL to create this project.
8. Barcode Based Attendance Information Security Management System
This is a computer-based idea that intends to provide an efficient way to monitor attendance in firms, organizations, or companies to enhance the security of personnel as it will keep away unauthorized persons in restricted areas. It will help in automating manual operations and help keep a record of all employees and personnel on the company premises.
7. Online Crime and Incident Reporting with SMS Notification
Without a doubt, security is vital, and the incidents of insecurity have to be reported immediately to the police or agencies in charge of security. The project idea is to create a web-based platform where citizens can report crime via SMS using their mobile phones.
8. Employee and Faculty Evaluation with Ranking and Succession Planning
This project idea is based on a LAN app that uses Visual Basic and MS Access. The system intends to have a module rating for employees and a succession Planning Module in which the users can encode the possible replacement if an employee is transferred, resigns, or retires from the organization.
9. Web-Based DSWD Calamity Assistance Request and Monitoring System
The project idea intends to help citizens affected by a natural disaster to request assistance directly from the DSWD office. The system also allows monitoring and responding promptly to anyone seeking help. It is a web-based system, hence you will require the use of PHP, MySQL, and Bootstrap.
10. Faculty Deliverables Monitoring with SMS Notification – File Management System
Faculties often find it hard to submit requirements such as learning materials, grades, and class records with the manual system, which is not only burdensome but also riddled with errors. For that reason, this project idea allows the development of a monitoring system with SMS notification to lessen the work of instructors in submitting their requirements. The project can run on MySQL, PHP, Bootstrap, and iTexMo SMS API as development tools.
11. Web-based fitness and exercise system with android app support in ionic framework
Maintaining healthy and physical fitness is what everyone wants today, and it is advisable to at least exercise twice a week. Nonetheless, most of us don’t have the time to hit the gym and workout. As such, this project idea intends to allow the development of an online platform that is mobile-based. Thus, allowing individuals to learn the basic ways to keep fit and healthy without having to hit the gym.
12. Voting System in Visual Basic and MySQL
The project idea is based on the concept of downloading a page where you can download the complete source code and database of the voting system. The system can be developed in Visual Basic and MySQL
13. Offline Java Tutorial for Android
If this project idea is well-executed, it will help students study java related lessons using their android devices. Better yet, it is an app that can work even without an internet connection.
14. Other IT Project Ideas Include:
- Effects of Artificial Intelligence
- Technology innovations that will happen in the next few years
- Virtual reality versus actual reality
- Cloud technologies on data storage
- Mobile applications for better education
- The future of the internet
- Route and Service Data of a Statewide Model
- Route and Service Data of Local Transit Systems
- Improving guest tracker system
- Transforming transportation system with intelligent cars
- Radial Basis Function Networks
- Storefront application on e-commerce
- Healthcare sectors and training implementation plan online
- Accounting systems better with automation documentation
- RFID security complete guide
- Lightweight gadgets and web monitoring
- The security of Network navigation system
- Intelligent time trafficking to ensure office productivity
- A planning application for financial forecasting mobile-based
- Discrete math gaming tutorial
- IQ test application with monitoring app for mobile
- Android-based learning app for kids
- SMS fire alarm system for web and mobile application
- Systems of IT vision for wireless observation
- Intelligent Vehicle Transportation System
- E-Logistic for warehouse management
- SMS notification for face recognition
- LAN based stocktaking and selling
- The airline booking system on Android and IOS
- Home surveillance and automation
- Use of the healthcare system for nursing education
Looking for the Best Information Technology Capstone Project Ideas?
If you are experiencing difficulties in coming up with the most workable topic idea for your IT capstone project, you can always seek help from us. Our IT expert writers will guide you through selecting the best topic idea that is beneficial both to your career and the IT field as a whole.
Besides, we can also provide you with capstone writing services should you be in a difficult position to write by yourself. Contact us now and see what we have in store for you!
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2022 Capstone Projects
CUSP received its highest number of proposals ever for the 2022 cycle of the Capstone Program . Thanks to our sponsors, our graduate students have the opportunity to have an impact on critical urban issues while continuing to develop their data science skills and honing their public policy expertise. Projects have been grouped into four categories: disaster resilience and climate change, fairness and inclusivity, health and wellbeing, and modern civil and communications infrastructure . To view the full list of 2022 projects, see below. Stay tuned throughout the spring and summer semesters to hear more about how our 2022 Capstone projects are progressing!
Disaster Resilience and Climate Change
Fairness and inclusivity, health and wellbeing, modern civil and communications infrastructure, a new dataset to develop smart assistants for specialized training with augmented reality, project sponsors.
- Iran R. Roman , Postdoctoral Scholar, NYU CUSP
- Juan Pablo Bello , Professor and Director, NYU CUSP
Emergency response personnel (i.e. firefighters, medical personnel, and utility workers) require specialized training to act in time- and precision-sensitive tasks. Comprehensive training requires time, practice, and continuous guidance from a professional and experienced trainer able to predict and correct the trainee’s actions. The trainer-to-trainee ratio currently limits the amount of individuals who are trained at a time. Ideally, such training could be carried out by an automatic and smart agent using augmented reality devices like the Hololens. In this project, we aim to develop a system for guided monitoring of a person’s actions as they learn a specialized task.
Project Description & Overview
Smart assistants can guide a trainee’s actions as they learn a specialized task. Such a system can: 1) identify the task being performed, and 2) predict the trainee’s actions. The assistant must process the trainee’s field-of-view (i.e. egocentric video) and surrounding sounds, carry out object recognition (including the trainee’s body parts, like arms), attend to relevant objects, and predict future actions.
Existing approaches rely on multimodal datasets with egocentric video and audio where an individual is seen carrying out a task. These datasets must be annotated so that actions in the egocentric video are associated with clear human-language descriptors. Annotation can be carried out completely by a person, but this is time-consuming and prone to error. Alternatives include automatic annotation via speech recognition, if the video data features an individual narrating their own activities. But narration leads to pauses between actions as the individual speaks, or errors when the individual thinks about what to say, or talks and acts at the same time. As a result, currently existing smart assistants are limited by data used for their development.
This project aims to 1) Improve data quality with a new dataset of egocentric video and audio, where an individual receives verbal instructions from a third party. 2) Benchmarking of pre-trained machine learning models that carry out video summarization and audio-visual correspondence. 3) Evaluation of action prediction models. Hence, the project’s question is: do multimodal egocentric recordings of instructed actions result in better annotations and predictions of human performance by an artificial agent?
Collecting data from emergency response workers would be logistically challenging and not really necessary to first address our research question (whether multimodal egocentric video of instructed actions result in better annotations to predict human behavior). Instead, to ask our question we will use videos recorded by a real-life worker at the Subway restaurant chain. He uploads to Youtube everyday and his videos are openly-available. The videos feature him making specific menu items as he follows the verbal instructions of customers. He started his Youtube channel in June and has already uploaded 7 hours of egocentric multi-modal video (and his list of videos continues growing every day). Moreover, we have established direct contact with him, shared our research ideas, and if this project is approved he will support us by uploading at least 10 minutes of his real-life footage at work, per day.
The students should be comfortable with Python and familiar with data analysis tools such as numpy and pandas. Having a machine learning background is also desirable (basic classification models such as random forests and test/train splits for evaluation).
Learning Outcomes & Deliverables
To conduct such a project we need audio-visual annotations. First, students will learn how to use existing models for automatic speech recognition and visual object detection. This will result in a real-world audio-visual dataset of egocentric perspective in an instruction-following task with annotated actions. Secondly, students will learn to evaluate performance of existing video summarization and audio-visual correspondence models against their newly-curated dataset. This will result in a study of performance of different off-the-shelf models on egocentric multimodal data in an instruction-following task. Finally, students will learn how to use and benchmark state-of-the-art multimodal action prediction models. The third deliverable would be a report with a summary of the work carried out and main conclusions along with the associated code used.
A Tale of Two Cities: Assessing the state of the thermal environment for New York and Athens
- Constantinos Cartalis, Professor, National and Kapodistrian University of Athens (NKUA)
- Anastasios Polydoros, Ph.D. Candidate, National and Kapodistrian University of Athens (NKUA)
Mitigation plans to counteract overheating in urban areas need to be based on a thorough knowledge of the state of the thermal environment, most importantly on the presence of areas which consistently demonstrate higher or lower urban land surface temperatures (hereinafter referred to as “hot spots” or “cold spots”, respectively).
This is because Land Surface Temperature (LST) is a controlling factor of energy exchange between the surface and the atmosphere, and thus a cause of meteorological and climatic variation. Such exchange is through latent and sensible heat as well as the emission of radiation at the thermal infrared part of the spectrum.
As a matter of fact, as urban areas are covered with buildings and pavements; as a result moist soil and vegetation are being replaced with cement and asphalt. These materials have high thermal mass and tend to absorb more solar radiation than the surfaces found in rural areas, with the result being higher land surface temperatures. Additionally these surfaces are impermeable and tend to dry more quickly after precipitation, reducing evaporation, which has a cooling effect in green areas.
The main objective of the project is to develop and apply a methodological approach for the recognition of thermal “hot spots” and “cold spots” in New York City and Athens, during the warm months of the year. Results will be analyzed separately for each city as well as in a combined manner in view of recognizing potential similarities which may be rolled out as urban typologies.
Specific objectives are:
- (a) the classification of land cover in each city (current state and retrospectively for a period of 20 years),
- (b) the estimation of LST from Landsat-8 at 30 m x 30 m and Sentinel-3 and MODIS at 1 km x 1 km spatial resolution,
- (c) the estimation of the downscaled LST at 30 m x 30 m on a, roughly, daily basis – and diurnally to the extent possible – with the use of the results of b),
- (d) the analysis of the extracted land surface temperatures so as to recognize and cluster “hot spots” and “cold spots”,
- (e) the correlation of the “hot spots” and “cold spots” to such independent variables as: (e1) the urban form—the two and three-dimensional urban structure (e2) the urban fabric – the surface materials and (e3) the urban green – presence, extent and distribution,
- (f) the estimation of the Surface Park Cooling Intensity, both in areas with extended parks as well as in areas with pocket parks.
Satellite data (free) from: Landsat 8 (visible and TIR), Sentinel-2 (visible) and Sentinel-3 (TIR) and MODIS from Aqua and Terra (vIS and TIR).
Provisionally image processing and/or GIS.
- Students will understand the thermal/climate dynamics of urban areas
- Students will exploit the potential of earth observation satellites and remote sensing for urban applications
- City maps depicting thermal hot spots, the cooling intensity of parks, land use/land cover as well as changes over space and time
Creating a High Performance Construction Project Database To Accelerate Building Decarbonization and Resilience in NYC
- Marianna Koval, Director, Invest NYC SDG, NYU Stern Center for Sustainable Business
The power of experience curves in technology (known as Wright’s Law, Swanson’s Law, or “learning by doing”) has made clean energy technologies less expensive than fossil fuel-generated energy, driving exponential growth in clean energy deployment globally. Can this power of learning also be harnessed for the technology of low carbon building to make Passive House construction less costly than traditional methods? This project, a partnership between Invest NYC SDG, Passive House Accelerator, and Source 2050 will (1) study how “experience curves” apply to Passive House design and construction, and (2) create a global project database to accelerate those experience curves.
The Invest NYC SDG initiative is committed to creating a sustainable, inclusive, and resilient built environment in NYC. Passive House is a proven technology for dramatically reducing the greenhouse gas emissions of buildings and providing climate resilience to building occupants, making Passive House (1) a key tool for achieving the goals of Local Law 97, (2) a centerpiece of NYSERDA’s building decarbonization work, and (3) a rapidly growing building-based climate solution in NYC, NYS, and nationally.
At Passive House Accelerator events and industry conferences, it is common to hear project teams report rapid, project-based learning such that each Passive House project they complete becomes more efficient and less costly than the last. Do these anecdotes translate to quantifiable and significant experience curves that can be harnessed to drive costs down and accelerate market uptake? Invest NYC SDG will partner with Passive House Accelerator and Source 2050 to empower Capstone students to:
- Answer the research question, “do technology experience curves apply to Passive House, and if so, at what learning rate?”
- Increase this learning rate by building a visualization-rich High Performance Construction Project Database that shares replicable details from hundreds of projects, documents cost and performance, and shares lessons-learned with thousands of practitioners, owners, manufacturers, and policymakers in NYC, NYS, and nationally.
- Design an optimal “case study” design for each project listing, determining which data points transmit “best practice” most effectively, and how best to share that information in visual and written formats.
- PHI Passive House Database: This online database lists 5,000 PHI Passive House buildings internationally, with basic project data; it is a good foundation for more robust case studies with data visualizations, higher quality project images, and information. Cost data is not published, so will need to be gathered from project teams.
- Phius Certified Projects Database: This online database lists 350 Phius Passive House buildings in North America, with basic project data; it is a good foundation for more robust case studies with data visualizations, higher quality project images, and information. Cost data is not published, so will need to be gathered from project teams.
- NYSERDA Buildings of Excellence Datasets: NYSERDA publishes cost, performance, and project data for its 42 Buildings of Excellence projects.
- Pennsylvania Housing Finance Agency LIHTC applicant data: Three years of cost, square footage, and certification type data for 268 proposed affordable housing projects (74 of which were Passive House).
- Passive House Accelerator Project Gallery: The Accelerator’s project gallery features 200 project entries, some with very data-rich descriptions and others with considerably less data published; it is a good foundation for more robust case studies.
- Massachusetts Clean Energy Center Passive House project data: MassCEC is tracking performance, cost, and project data for the growing number of Passive House multifamily projects that are underway thanks to state policies that incentivize Passive House development.
- Source 2050 Vendor Project Profiles: Source 2050 is asking all vendors to provide case studies, testimonials, project profiles, and similar materials as they are onboarded; these will provide unique perspectives from the trades on how these products and details performed in the context of specific project types.
Data analytics, visualization, data mining and processing, outreach/interview skills, database management, and web integration
- Data analytics report on experience curves in Passive House and the relevant learning rate.
- High Performance Construction Project Database to document data findings and share Passive House project lessons learned, published to the Passive House Accelerator website, with data visualization.
- Development of project detail packages from the Database to make available to trades through Source 2050 as complete project solutions.
Data-Life: Exploring Post-Covid Scenarios Through Data Science
- Marco Brambilla, Professor, Politecnico di Milano
- Stefano Ceri, Professor, Politecnico di Milano
The project will combine quantitative data coming from open data, social media, and other sources, together with ad-hoc analysis, crowdsourcing, and gamification practices, to collect data and understand the perception of people about the present and future of the pandemic. It will look into the post-pandemic future, trying to understand how things are going to change and how people may react to different alternative policies and decisions at different levels.
COVID-19 has affected our lives in unprecedented ways, in many personal, professional, and educational aspects. This impacted both our daily plans and logistics, as well as our perception of the world and of the future. A lot of data is available about COVID-19 impacts and many data-driven studies have been conducted for understanding the associated dynamics at the medical, logistic, and organizational levels. However, fewer studies concentrated on the perceptions, feelings, and emotions involved in these changes.
The project will combine quantitative data coming from open data, social media, and other sources, together with ad-hoc analysis, crowdsourcing, and gamification practices, to collect data and understand the perception of people about the present and future of the pandemic. It will look into the post-pandemic future, trying to understand how things are going to change and how people may react to different alternative policies and decisions at different levels. Possible perspectives to be explored include: educational opportunities, university life, city life and dynamics, professional life, family life, government decisions (mandates, regulations, lockdowns).
The study will be conducted in the cities of New York and Milano, both severely affected by COVID-19, both having lived long and painful lockdown periods, but both nowadays showing important signs of reactions, with a strong revival in social life, cultural events, and desire to return to normality. The project will highlight many aspects of similarity but also many aspects of diversity of the reaction to COVID-19 of the two cities.
Dataset exploration and definition will be part of the project activities.
Students should have basic data management skills and competence in social media data and crowdsourcing practices.
The project will study methods, tools, and reports/analysis on the expectations, reactions and feelings of people with respect to the return to normal life after the pandemic.
Developing an AI-based Image Classifier for School Infrastructure Baseline Data Collection in Large Scale Disaster Risk Analysis
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL) and NYU AI4CE Lab
- Jingzhe Wu and Angie Garcia, Consultants, World Bank’s Global Program for Safer Schools (GPSS)
This project will develop a risk-informed classification system to support AI computer vision algorithms for assessing seismic vulnerabilities in schools. The project will be led by the World Bank’s Global Program for Safer Schools (GPSS), the NYU Disaster Risk Analysis Lab, and the NYU AI4CE. The project’s main goal is to develop a simplified vulnerability classification system based on existing detailed taxonomy from the Global Library of School Infrastructure (GLOSI: https://gpss.worldbank.org/en/glosi/overview), to support AI-based computer vision tools to reduce structural vulnerability data collection time and costs in large building portfolios. We envision that this simplified classification will enable more reliable AI computer vision tools to empower communities to be engaged in governments’ disaster risk management efforts more easily, make risk analysis more accessible and informed by up-to-date baseline information worldwide and guide large-scale school safety and resilience investments more efficiently.
This project will focus on a simplified classification system to support easier and more reliable extraction of structural classifications (features) from pictures of schools using computer vision algorithms. The structural classifications will be set according to the Global Library of School Infrastructure (GLOSI) structural taxonomies . GLOSI taxonomies are key to defining structural vulnerabilities in school buildings that are considered in large-scale earthquake risk analysis. The project will use the vulnerability data of GLOSI typologies, and school inventory data from ~2000 schools collected in World Bank projects. The project will have four main parts:
- Methodology Development: Redefining and simplifying GLOSI categories through potential clustering based on seismic vulnerability similarities (e.g., brittle materials); and redefining intermediate labels (e.g., proxy variables like material, building component sizes) to support a hierarchical classification logic to better predict GLOSI categories.
- Data Pre-processing: Curating the school dataset using the simplified GLOSI categories and the developed intermediate labels.
- Computer Vision Analysis: Adjust and retrain the existing computer vision models following the developed intermediate labels.
- Measuring risk errors: Assessing the accuracy/uncertainty with the inventory with the developed simplified GLOSI categories compared to the original detailed inventory, in terms of risk metrics using existing risk software.
- Vulnerability curves of relevant school building typologies.
- School inventory dataset with ~2000 schools and their current GLOSI categories. Note: The dataset is proprietary and will be provided under NDA. This dataset contains multiple photos per building for all the buildings in each school, their labels in the GLOSI categories, and other relevant exposure information such as coordinates, occupancy, and building footprint dimensions. The total number of images is over 16,000 images. This dataset was collected by teams deployed in the field to survey the schools.
- Existing AI computer vision model prototype for reference.
The team needs at least one person with a background in disaster risk analysis, and preferably computer vision and machine learning. For computer vision, this requirement means a student that took or is taking a class equivalent to CSCI-GA.2271-001 or ROB-GY 6203. A team member with a strong programming background (especially with hands-on deep learning experience) will increase the success rate of the project. For disaster risk analysis, this requirement means a student that took or is taking a course equivalent to CUSP-CX 8006. Please get in touch with Professor Ceferino for further inquiries about competencies.
- Developing hands-on experience with AI and computer vision tools for seismic resilience
- Understanding the data requirements for conducting regional disaster risk analysis and defining seismic vulnerabilities
- Simplified classification system on school building vulnerabilities for computer vision uses
- Progress and final reports
- A final presentation with wider GPSS team
Emergency Response after Earthquakes: Assessing Risk and Guiding Coordination in Hospital Systems
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL)
- World Bank’s Global Facility for Disaster Reduction and Recovery (GFDRR)
- Earthquake Engineering Research Institute’s Public Health Working Group
This project will assess the earthquake risk of hospitals and their ability to sustain operations after future large earthquakes. The project will be led by the NYU Disaster Risk Analysis Lab, the World Bank’s Disaster Risk Management Division, and the Earthquake Engineering Research Institute (EERI)’s Public Health Working Group. The project’s main goal is to apply robust disaster risk analysis techniques on hospital datasets to better understand post-disaster hospital capacity. The project will investigate new risk metrics relevant to inform practical risk mitigation policy implementation and emergency planning, e.g., mobilizing patients from neighborhoods with little hospital capacity to high hospital capacity. The goal is to inform communities on how to mitigate not only potential economic losses, as currently done in practice, but also potential functional and societal impacts.
This project will focus on conducting earthquake risk analysis in two cities’ hospital systems. One case study will be located in the Bay Area, California, and the other one will be in a developing country defined according to data availability. The project will have four parts:
- (A) Curating and completing datasets for assessing earthquake risk: The students will be provided with initial datasets that map hospital infrastructure and its seismic vulnerabilities. Students will extend these datasets, with guidance from their advisors, to be integrated into disaster risk analyses.
- (B) Conducting earthquake risk analysis: Students will use the datasets to conduct earthquake risk analysis using open-source software like OpenQuake or SimCenter Tools. The analysis will incorporate seismic hazards and vulnerability models to quantify risk comprehensively, e.g., probability of hospital disruptions in a given year, return period of hospital collapse.
- (C) Conceptualizing and assessing hospital system risk metrics: Students will review scientific reports and emergency response articles and define metrics to assess hospital system risk with the project mentors. The students will carefully examine what metrics can be estimated with risk analysis and use their results to quantify them. For example, students can assess the spatial distribution of post-earthquake hospital capacity to investigate potential disparities in hospital accessibility after earthquakes.
- (D) Visualizing hospital system risk: Students will generate visualizations to communicate their findings to stakeholders. An integral part of risk analysis is using results to inform policy, e.g., retrofitting hospitals. Thus, the students will carefully prepare visualizations to showcase their findings. Also, the students will draft recommendations for preparedness and risk mitigation in hospital systems, with guidance from their advisors.
Disaster Risk Analysis requires hazard, vulnerability, and exposure data. Data for hazard analysis will be provided. Vulnerability and exposure data will be provided partially. Students will work on completing and curating datasets for vulnerability and exposure. Specifically, the following will be provided:
- (A.1) Dataset with hospitals and their locations
- (A.2) Seismic hazard data
- (B.1) Dataset with hospitals, their locations, and their vulnerabilities. This dataset may contain proprietary information and be provided under an NDA.
- (B.2) Seismic hazard data
Students will require a background in statistics and risk analysis. Otherwise, they are highly encouraged to enroll in the Disaster Risk Analysis and Urban Systems Resilience Class (CUSP-CX 8006). Please get in touch with Professor Ceferino for further inquiries about competencies.
- Understand the data requirements for conducting regional disaster risk analysis
- Build skillsets for hands-on disaster risk quantification
- Develop risk communication and visualization skills relevant for policymaking in disaster risk management
- Documented datasets with hospital information to conduct disaster risk analysis
- Maps visualizing the risk study
- Presentations, including one with a wider audience from the World Bank
FloodNet - Computer Vision for Urban Street Flood Detection
- Maddalena Romano, Director, Data/Asset Management, NYC Department of Transportation
- Charlie Mydlarz , Research Assistant Professor, NYU CUSP
In NYC, sea level rise has led to a dramatic increase in flood risk, particularly in low-lying and coastal neighborhoods. Urban flood water can impede pedestrian and vehicle mobility, and also can contain a diverse array of contaminants, including fuels, raw sewage, and industrial/household chemicals. For this capstone project, the team will train, test and deploy computer vision (CV) and deep learning (DL) models for the detection of street flood events. Existing labelled datasets will be used for training. In addition, an unlabelled NYC street image dataset will be provided for labelling and training of a NYC centric model.
In NYC, sea level rise has led to a dramatic increase in flood risk, particularly in low-lying and coastal neighborhoods. Urban flood water can impede pedestrian and vehicle mobility, and also contains a diverse array of contaminants, including fuels, raw sewage, and industrial/household chemicals.
The FloodNet project is interested in evaluating whether a longitudinally deployed fleet of CV flood sensors can monitor urban flooding events in real-time. This data can improve resiliency by (1) allowing residents to identify navigable transportation routes and make informed decisions to avoid exposure to flood water contaminants, and (2) informing city agencies in targeting flood control improvements through data-driven decision making.
The Capstone team will train, test and deploy CV/DL models for the detection of street flood events. Existing labelled datasets will be used for training. In addition, an unlabelled NYC street image dataset will be provided. The labelling strategy of this dataset will be determined by the team. Unsupervised or weakly supervised DL approaches could also be explored.
The team will work through three stages:
- General flood detection model: The team will train and test a model built using existing labelled datasets. (40%)
- Literature review on privacy and ethical concerns: The team will complete a review on CV ethics/privacy concerns in urban sensing. (10%)
- Data cleaning/labelling and training of NYC centric flood model: Data collected from NYC streets including flood and non-flood imagery will be cleaned and labelled, then used to build a NYC centric flood detection model. (50%)
Existing labelled flood imagery datasets will be used in Stage 1 of the Capstone project. Stage 3 will involve the generation of a NYC centric dataset using existing unlabelled images collected from NYC streets in both flood and non-flood conditions.
- Dimensionality reduction
- Supervised learning
- Semi-/Weak-supervised learning
- Computer vision experience
- Good code and data management skills
- Python SciPy stack and PyTorch DL library
- Python programming (required for >=2 team members)
- Data processing pipelines
- Privacy and data
The team will be using a broad range of urban analytics approaches that will result in proven abilities in: computer vision, remote sensing, data science, and machine learning.
The expected deliverables for each project stage are:
- A model that operates with a given minimum performance level on the provided test data.
- A literature review on the ethical and privacy concerns surrounding urban sensing and CV solutions.
- The NYC centric model with performance levels exceeding a given threshold under varying real world conditions, including a new labelled urban flood dataset and associated tools for open sourcing on the data platform Zenodo.
All deliverables will be based around Jupyter notebooks and committed to a well documented public GitHub repository.
Hardening New York City’s Interdependent Water and Energy Infrastructures Against Climate Change and Cyberattacks
- Charalampos Avraam , Smart Cities Postdoctoral Associate, NYU CUSP
- Yury Dvorkin , Assistant Professor, NYU CUSP
Extreme events stress New York City’s (NYC’s) interdependent water and energy infrastructures; impact human livelihood; and can disrupt local ecosystems. The dependence of water and wastewater operations on power implies that a blackout, coupled with backup system components’ failures, can force the discharge of untreated wastewater into NYC’s waterways, and result in a public health emergency. Data-driven and optimization techniques can leverage publicly available data to reveal vulnerabilities in electricity, water, and wastewater infrastructures. Our analysis can aid policy design against natural hazards and cyberattacks, and thus inform the modernization of interdependent urban water and electricity infrastructures.
This project aims to identify supply chain vulnerabilities of New York City’s physical water and wastewater infrastructure; understand water-energy interdependencies; and inform resilience policies against natural disasters. The project will:
- Provide a water and wastewater management framework which integrates publicly available databases.
- Assess vulnerabilities and inform water and energy infrastructure policy design in New York City against extreme events and potential cyberattacks.
Students will collect and process data either on water supply chains (i.e., from reservoirs to NYC water consumption), or on wastewater supply chains (i.e., from water consumption and drainage to wastewater treatment). Between February and May, students will integrate databases that include water consumption and technical features of reservoirs, tunnels, the drainage system, and wastewater treatment facilities. Between May and August, the students will use optimization, statistical methods, machine learning, or a combination of techniques to identify critical assets, interconnections, or spatial and temporal interdependencies with the electricity sector within the water and wastewater supply chains that are vulnerable to disruptions. This project will provide comprehensive databases of the different components of New York City’s water and wastewater infrastructures.
- New York City (NYC) aggregate water consumption
- NYC Aggregate Population
- NYC water consumption per capita
- NYC population by zip code
- Energy and Water Data on privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2
- Wastewater treatment facilities & sewersheds
- Map of reservoir capacities
- US county-level water use
- US county-level water and energy use data
- Reservoirs capacity
- Capacity of Tunnels 1, 2, & 3 (billion gallons per day)
- Knowledge of Python, R, Julia, Matlab, other data-processing languages, or Excel.
- Familiarity with statistical, optimization, or machine-learning inference methodologies.
- Familiarity with data-visualization tools in R, Matlab, Python, Julia, or other language.
Through this project, the candidate(s) will:
- Integrate and analyze large datasets to provide a comprehensive dataset which include interconnected operations within water supply or wastewater infrastructures.
- Broaden their understanding of the economic, environmental, and health impacts of failures in modern urban water and wastewater infrastructures.
- Identify spatial and temporal vulnerabilities of urban water infrastructures against potential natural hazards and cyber threats and provide policy recommendations.
Modernizing Organics “Collection” for Managing the City’s Municipal Solid Waste and Achieving Zero Waste Goals
- Terri Matthews, Director, Town+Gown : NYC Urban Resource Recovery Working Group (NYC Department of Design and Construction)
This capstone will develop a data visualization tool to illustrate the lifecycle costs and benefits of leveraging late 20th century technology to solve a 21st century problem—the need to achieve zero waste and reduce CO2 emissions– as compared to the current use of 19th century (and earlier) technology.
The City’s current policy for residential organic food waste diversion has been a voluntary composting initiative with Department of Sanitation (DSNY) pickup in certain neighborhoods. This policy relies on 19th century (and earlier) technology whereby people collect refuse for pick up and transportation by truck. The future policy debate is likely to be about whether to mandate residential organics diversion on a citywide basis with citywide DSNY pickup and transportation. The multi-year voluntary organics curbside collection program has not been cost effective, with approximately half of the City’s municipal solid waste (MSW) going to landfills. To reduce total program costs below current costs would require either a diversion rate of about 30% or a lower diversion rate with reducing processing costs, with associated increased operation costs, before seeing reductions in the distant future. All this would require a long-term concerted effort prioritizing organics diversion, possibly through fines, and changing residents’ behavior.
At no time has there been consideration of leveraging late 20th century technology, in the form of food waste disposers (FWDs), commonly known as “in sink” garbage disposals, to process organics as a means to reduce CO2 emission and achieve “zero waste” goals. Since October 1997, the City has permitted residential households to install FWDs. A study of the impact for FWDs in the City’s combined sewer areas , assuming FWDs would be installed at a rate of 1%/year, found de minimis increases in City sewer maintenance costs, water consumption, wastewater treatment and biosolids handling costs, water rates, and negative impact on surrounding waters, and costs savings from solid waste export reduction. As of 2008, it was estimated that less than 1 percent of NYC households had installed FWDs .
The benefits and costs of expanding FDWs at food service establishments, studied in 2008 , would apply to mandated expansion of residential FDWs as an alternative to mandated citywide organics diversion. Benefits would include efficiency with related cost savings at the residential sites; associated reductions in municipal truck trips, with labor cost savings, and localized reductions in truck traffic; and beneficial end re-use of food waste, at the city’s water pollution control plants, now rebranded as wastewater resource recovery facilities (WRRFs), with some increases in digester gas, which, with capital investment to modify the WRRFs, could be reused in WRRF boilers to provide heat for the treatment process (cogeneration), with elements of resulting biosolids available for other beneficial end uses, some with commercial applications, and associated revenues. Costs to be balanced against benefits include incremental water use increases; increased sewer maintenance costs and the potential for sewer backups, which until the City resolves its combined sewer overflow problem could result in increased discharges during heavy stormwater events into surrounding waterbodies; and increased capital investment at the WWRFs.
This project will use publicly available Department of Buildings plumbing permit data for Downtown Brooklyn and Long Island City and associated publicly available DSNY and Department of Environmental Protection operations and capital cost data. Additional city-produced reports and studies from other cities that have mandated FDWs will be sources of additional data.
All students should have proficient data analytic skills. An interest in zero waste and large system operations would be helpful.
The deliverables will be an interactive visualization of a comparative lifecycle cost benefit analysis of the two types of organics diversion technology and a final report that provides the methodology and analyses used and findings.
- As part of the research component, the students will gain a deep understanding of the City’s municipal solid waste problem and its operations under aspirations to reach zero waste goals.
- This data manipulation and visualization will enable the students to use all data analytic skills learned to date and possibly require them to pick up other techniques required by the project.
- If time permits and the students develop theories, students will also develop performance metrics and predictive models.
Virtual and Augmented Reality for Community Preparedness to Disasters
- Qi Sun , Assistant Professor, NYU Immersive Computing Lab
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL)
- World Bank’s Global Program for Safer Schools (GPSS)
This project will create physically realistic virtual and augmented reality (VR and AR) environments that represent extreme events such as wildfires, floods, landslides, winds, and earthquakes affecting our communities. The project will use these environments to show how resilient infrastructure and response preparedness in a disaster can significantly reduce the probability of physical and human losses. The virtual environment will then be deployed to VR/AR devices for egocentric and immersive viewing. The project will be led by the NYU Immersive Computing Lab, NYU Disaster Risk Analysis Lab, and the World Bank’s Global Program for Safer Schools (GPSS). The project’s main goal is to raise awareness and prepare our communities to respond to extreme events using immersive realities to enhance the effectiveness of drills, such as evacuating during floods.
The project will focus on building AR/VR environments for floods and earthquakes and assessing/surveying people’s responses to them. Students will select the infrastructure of interest (e.g., schools, hospitals) according to their interests and data availability. The project will have three parts:
- Building an augmented reality environment for floods*: Students will create an augmented reality environment to represent floods with data from New York City. Using 3D building data, flood records, and projections for sea-level rise, the students will create urban flooding environments useful for testing community response and decision-making, e.g., during evacuations.
- Building virtual reality environment for earthquakes*: Students will use existing data on building response to earthquakes to create a virtual reality environment with buildings shaking during an earthquake. Students will develop these environments for different earthquake magnitudes and shaking levels to assess vibration and overturning of non-structural elements in the building and damage in the structural elements.
- Surveying human response in virtual reality environments: Students will test the effectiveness of these immersive environments by designing a survey to assess their experience. Results will be compared with interviews for people who witnessed the floods during Hurricane Ida in 2021.
*VR/AR environment interactivity will be explored.
- 1.1) 3D building data for NYC
- 1.2) Flood records, maps, and projections
- 2.1) Building shaking records during earthquakes
Students will require a background in immersive reality, with experience in Unity. Otherwise, they are highly encouraged to enroll in the Urban Data Visualization Class. Please contact Professors Ceferino or Sun for further inquiries about competencies.
- Build skillsets for virtual and augmented reality system engineering with a focus on floods, winds, or earthquakes
- Gain experience in performing subjective studies with broader applications such as UI/UX.
- Gain an understanding of quantitative and data-driven methods to analyze disaster consequences, such as deep neural network-based statistical models.
- Augmented and virtual reality environments for floods, winds, or earthquakes
- Summary of survey findings
- Final presentation including one with the World Bank’s larger audience
City of Bogotá: Data Driven Door-to-Door Care
- Diana Rodríguez Franco, Secretaria de la Mujer, Office of Women’s Affairs, City of Bogotá
- Stefaan G. Verhulst, Co-Founder and Chief Research and Development Officer, The GovLab
The Office of Women’s Affairs is looking to make its Care System innovative in its objectives and how it uses data. The Care System is an initiative to reach female caregivers living in dire conditions. It brings services directly to those who often cannot leave their homes because of their domestic workload. Primary caregivers receive certified skillset training, well-being activities, and become part of community-building networks with professional facilitation. Others receive care and services to develop their autonomy. Importantly, the initiative is delivered to those in need and provides evidence on the value of redistributing care for closing gender gaps and economic recovery. That’s where data comes in.
Women’s “time poverty” is a structural cause of gender inequality. In Bogota, the unpaid care burden falls disproportionately on women, reaching alarming proportions: 30% of Bogota’s female population are full-time unpaid caregivers. 90% of them are low-income and 33% lack time for self-care. In 2020, we launched Bogota´s Care System to address these challenges. Bogata would now like to expand its efforts by providing primary caregivers with certified skillset training, well-being activities, community, and other services to develop their autonomy.
For six months, Capstone students will use data-driven methods to understand program impact and identify new ways to increase traffic to facilities used for this work. Students will support the Office as it:
- Hosts a consultation with beneficiaries in a mini-public format to understand which care issues and metrics of success it should prioritize. This consultation will be inspired by The GovLab’s Data Assembly and 100 Questions;
- Launches a data collaborative with non-traditional data holders across the city (e.g. telecom operators) to reuse the data needed to subsequently measure these prioritized issues (such as traffic to care centers);
- Applies the analysis in the form of real-world data-driven experiments to increase the uptake of services – leveraging a baseline and compare it post interventions. Experiments could include communications campaigns or changing how and where services are deployed.
This work will support Bogota’s Women and Gender Equality Policy. Students will be overseen by the Secretary of Women’s Affairs and a coordinating team.
Students will have access to the survey and interview data that the Office collects to measure the average hours per month that women dedicate to unpaid care work, data on the gender gap in unpaid work between men and women, and the number of services the caregiver has accessed before entering into the program as well as the number of services the caregivers and people they care for have access to before the implementation of the program.
Following a mini-public with beneficiaries, students will also work with the Office as it collaborates with a private-sector data holder to access its data for assessment purposes. This data might include telecom data which could be used to map and understand how caregivers move through the city or some other proxy.
- Spanish language proficiency is a plus
- Familiarity with issues facing women and caregivers
- Community engagement skills
- Data analytical skills
- Experimental design competencies
- Students will learn how to conduct monitoring and evaluation work to ensure the success of the Care System;
- Students will learn to apply alternative datasets for the purposes of public policy and discover the role that data collaboratives can play in matching the supply and demand of data;
- Students will learn how to engage with citizens around the “questions that matter” in ways that support Bogota’s efforts to restructure itself around care economies and better reach caregivers in dire conditions.
Community Economic Recovery Tool
- Palak Agarwal, Data Scientist, US Ignite
- Praveen Ashok Kumar, Technical Program Manager, US Ignite
The COVID-19 pandemic has only exposed the existing health, economic, and social challenges within the county, and have highlighted the need to be prepared for such events in the future. Governments of all levels are tasked with easing the burden that citizens and local businesses face. To address this challenge, we propose to create an “Economic Recovery” tool that offers real-time strategies to community leaders recovering from COVID-19 shocks and can be used post the recovery to identify other underrepresented communities.
Using the data we aim at producing four major tools:
- Quarterly Unemployment Forecast would be created using a thorough exploration of time series, cross sectional, and deep learning models.
- Economic Vulnerability Index would be used to highlight the significant economic inequality facing the city and constructed with an Principal Component Analysis.
- Industry Health Index would allow leaders to understand the extent to which different industries have been impacted by the pandemic and previous economic shocks, using a Factor Analysis.
- Economic Opportunity Zones would allow leaders to identify zones within the city where new businesses can be introduced to help with the economic value of the area.
- Federal: Data sources look into federal sources across cities/county/congressional district levels from all agencies to see how it trickles down into the society. Some of the sources include ACS Community Surveys, Bureau of Labor Statistics, LODES, OnTheMap, Small Area Income and Poverty Estimates (SAIPE) Program, SVI, Federal funding, etc.
- State: Data sources look into the state’s open data portal to look for data with finer spatial granularity. Some of the sources include certificate of use, business licenses, zoning districts, public transportation systems, Redlining zones, etc.
- Private: Data sources look into the private sources of data to add more detail into the model. The data includes real estate data, business data and user traffic patterns.
Insightful thinking, geospatial knowledge and an interest to understand urban economic data sources.
After the analysis is complete and available on the dashboard, city departments will be able to use it to identify any funding gaps. The dashboard allows the officials to overlay and understand multiple variables at once, while the data will be automatically updated monthly, giving local officials a chance to understand effects of policy changes within a neighborhoods or congressional. Apart from the city officials, we want the residents of the city to have access to the data as well. This will help them understand the employment patterns within different industries which can be very beneficial. The economic opportunity zone can be used to set up new small businesses and mom and pop shops to have maximum footfall and chance of succeeding.
Democratizing New York City’s Urban Development Processes
- Dana Chermesh-Reshef, CEO and Founder, inCitu
New York City’s current planning process is a jumble of information on the websites of various community boards in different boroughs. There is no unified source of truth that various stakeholders like developers, city planners or concerned citizens can access this information through. Through this project we’d like to create a unified dynamic map for New York City highlighting city planning projects in flight along with citizen comments and concerns on them.
The purpose of this project is to take the otherwise opaque city planning process during the public review phase and make it transparent and easily accessible to all. Through this project, we aim to build a publicly available, dynamic map that will showcase various planning projects in flight throughout New York City, as well as citizens’ concerns and comments on said projects. This will help to democratize the process of urban development and will be of use to various stakeholders like developers, city planners, citizens, and elected representatives. The current information on various planning projects is available via the websites of various community boards throughout New York and requires hours of searching to find relevant information. Through this process, citizens could access city planning information in other community boards and see how projects were greenlighted or citizen participation brought them to a halt. Developers could also look at our map and decide on how to alter their projects by searching for similar projects that might have faced obstacles and how to rectify them in their proposal.
- Different Websites of NYC Community Boards Example: a project under review inside of the Land-use page at MN CB5’s website
Project management, data visualization, data engineering, modeling
- A unified, analyzable dataset of ongoing planning projects across NYC.
- A publicly available map listing out planning projects under review New York City (deliverable that can also be used in personal portfolios).
- Better understanding of New York City’s complex city planning process.
Informing Policymakers On State Level Supplemental Security Income Support
- Dani Hochfellner , Adjunct Assistant Professor, NYU CUSP
- Mary Hamman , Professor of Economics, University of Wisconsin La Crosse
Supplemental Security Income (SSI) is a federal social safety net program that provides cash payments to disabled persons and adults over age 65, who are very low income. Many states offer SSI payments, but the information about these supplements is contained in text-heavy historical reports. It is difficult to show how support varies from state to state and over time. The proposed project will involve text analysis of historical reports, construction of performance metrics, and designing a public facing visualization to convey clear and objective insights about the SSI program on a state level to inform policymakers and the public.
Policymakers, researchers, and the public lack information about state support for the population that receives Supplemental Security Income (SII). This lack of information hampers policy making, research on program efficacy, and public understanding and awareness of the program. The information needed to address this gap is provided in text-heavy historical reports with too much programmatic jargon and little time-series or state-to-state comparisons. This proposed project aims to gather the hidden information with the goal to provide an overview for policymakers to better understand the impact of the SSI program. Information will be extracted using natural language processing algorithms. The final deliverable of the project is a public facing dashboard/visualization that will help guide policymakers in future program decision making. This project is a collaboration across multiple academic institutions, thus the project will be fully remotely.
Publicly available administrative data.
Students should have the following competencies:
- Python or R, some experiences with extracting text from documents
- Interest in public policy and social support systems, creating dashboards
Students will learn how to perform text analysis on documents, extract content from document by using natural language processing algorithms. Students will also learn how to design intuitive visualizations. Student will learn how to present results for different audiences.
Measuring Geographic Distribution and Predictors of Variation of Over-Policing Across NYC
- John Pamplin , Smart Cities Postdoctoral Fellow, NYU CUSP
- Spruha Joshi, Postdoctoral Fellow, Center for Opioid Epidemiology and Policy (Dept. of Population Health, NYU Grossman School of Medicine)
Mass incarceration is a well-recognized public health issue and driver of racial inequities. However, focusing on arrests and subsequent incarceration underestimates the totality of police-community member interactions, and risks obfuscating the full magnitude of disproportionate policing within a city. This project will use publicly available NYPD policing data on multiple endpoints of policing (e.g., arrests, desk appearance tickets, criminal summons) to construct a geographic visualization tool to assess the burden of policing across neighborhoods and time in NYC. Through data linkages with the American Community Survey, this tool will allow for the investigation of predictors of over policing within NYC.
The relationship between communities and police has received a lot of attention following multiple high-profile fatal police shootings of unarmed people of color. The disproportionate burden of police violence and the over-representation of Black and Brown people in correctional facilities has raised large questions regarding the unequal policing of communities. Though some investigators have begun to interrogate the impacts of over-policing, few include the broader set of police interactions not captured by arrests. Furthermore, current data structures severely hinder progress towards understanding variations in exposure to policing across time and place. Understanding how policing varies across communities is a critical first step in reducing the burden of over-policing among those disproportionately impacted. The goals of this project are to a) assess geographic and temporal variation of policing in NYC by constructing a geocoded mapping tool of policing interactions, and b) identify predictors of variation in policing burden by constructing predictive models using data from the American Community Survey.
Participating students will create a single, column-oriented database of publicly available NYPD policing data (from 2013 – 2021) on a range of policing end points (e.g., arrests, court summons, desk appearance tickets). Students will geocode the data and create an online mapping tool that will illustrate variations in policing burden across NYC. Finally, students will be asked to link the database to publicly available data from the American Community Survey and build predictive models to identify geographic and sociodemographic predictors of increased policing burden in New York City.
The primary data for this project will be a composite of multiple publicly available NYPD policing datasets. NYPD historic arrests data contains over 5 million individual arrests with date and location data ranging from 2006 to 2020. Additional datasets provide analogous information on cannabis court summons, desk appearance tickets, criminal summons, and stop-question-frisk incidents. Metadata is available for each indicator at the precinct and quarter level for the first three quarters of 2021. Policing data will be linked to census data from the American Communities Survey, including but not limited to racial/ethnic composition, poverty, etc.
The ideal student for this project would have strong data science and programming skills, specifically as it relates to geocoding data and building a dashboard and/or web tools (e.g., R shiny apps). Additionally, students should have basic analytic skills and understanding of predictive model building. Lastly, experience with data visualization and spatial analysis will be especially useful for building the map-based web tool.
There are three expected deliverables that will result from this project.
- Creation of mapping/visualization tools showing the geographic distribution of manifestations of NYPD police interactions (e.g., arrests, cannabis court summons, criminal summons, desk appearance tickets, stop-question-frisks) at varying levels of granularity in NYC (e.g., precinct, census block).
- Creation of a column-oriented database to store and access complied NYPD policing data linked to data from the American Community Survey.
- An analytic model identifying geographic and sociodemographic predictors of increased exposure to policing in NYC.
Repairing Dallas: Leveraging data to improve housing quality
- Ashley Flores, Senior Director (Housing), Child Poverty Action Lab
- Owen Wilson-Chavez, Senior Director (Analytics), Child Poverty Action Lab
Substandard homes severely impact resident wellbeing: deficient housing quality is associated with asthma and respiratory illness, lead poisoning, accidental injury, anxiety and depression, and poor academic outcomes. Data on housing quality is limited to MSA-level estimates of housing adequacy and subjective assessments by the local appraisal district, so it’s difficult for housing advocates to understand where housing quality issues are most acute and how to direct resources for repair. The project purpose is twofold: (1) identify neighborhoods in Dallas where there is poor housing quality and (2) develop a sampling and surveying approach to collect granular data within high-repair neighborhoods.
Housing quality matters for the mental, emotional, and physical health of residents, but the 2019 American Housing Survey reports that 27,600 housing units in the Dallas-Fort Worth Arlington MSA are severely inadequate. Research indicates that housing quality issues are more severe for people of color, people living in poverty, single parents, and renters. Although there is great need within Dallas’ housing stock, we lack actionable data to elevate the issue of housing quality, better direct limited resources, and advocate for more resources to ensure Dallas residents have a healthy home. Through this Capstone project, we hope to leverage existing datasets to design a methodology for calculating housing quality at a smaller geographic unit in order to identify neighborhoods in Dallas where there is disproportionately poor housing quality that needs to be remedied. This could take the form of a housing quality index that contemplates various data sources and takes into account both renter- and owner-occupied units. In addition, the CUSP team will estimate the cost of housing repair needs in Dallas (see 2019 report from the Philadelphia Fed entitled, Measuring and Understanding Home Repair Costs, as an example using 2017 AHS data). Finally, the CUSP team will develop a sampling and surveying approach to collect more granular data within neighborhoods indicating a high need for repairs. This framework can then be deployed on-the-ground in Dallas in target neighborhoods to better understand specific needs and direct resources, like home repair programs, to units where they’re most needed.
Datasets available for this project include Dallas Central Appraisal District property-level data, the Census Bureau’s bi-annual American Housing Survey, the American Community Survey (for relevant household data), CoStar multifamily data (e.g., property class, unit features — like A/C, and property age), and City of Dallas code violations. Other potential datasets include multifamily and single family rental inspections by the City of Dallas, units with failed inspections from the Dallas Housing Authority, and MLS property listing data. Potential datasets require additional steps for CPAL.
Specific skills that would be useful for students to have include spatial analysis and regression, econometric modeling, hedonic and/or multilinear regression, and sampling design. Nice-to-have is some understanding of housing quality/adequacy and its impact on residents.
Expected deliverables include:
- A descriptive analysis of housing quality in the City of Dallas, e.g., through the creation of a housing quality index applied to the smallest geographic unit possible;
- An estimate of what existing home repairs in the City of Dallas cost (see 2019 report from the Philadelphia Fed entitled, Measuring and Understanding Home Repair Costs , as an example using 2017 American Housing Survey data);
- A sampling and surveying framework that can be used on-the-ground in neighborhoods to collect unit-level data on housing quality and repair needs. If travel to Dallas is permissible for fieldwork, students could visit to test the sampling and surveying framework in a neighborhood that indicates high need based on the housing quality index. If travel is not permissible, CPAL staff or volunteers will use the framework for data collection efforts.
Simulating Interactions with Visually Impaired
- Maurizio Porfiri , Institute Professor, NYU Dynamical Systems Laboratory (DSL)
Urban environments represent particularly dire challenges for the mobility of the visually impaired, who must travel complex routes in often crowded and noisy conditions with limited to no assistance. To help visually impaired regain their independence, they are offered orientation and mobility training (O&M). However, O&M training represent a risk to the visually impaired, as it exposes them to dangerous situations and falls. We seek to overcome this issue by simulating O&M training in virtual and augmented reality (VR/AR), in which trainers and trainees interact within a safe and controlled environment that simulates part of a city.
Visual impairments will become a preeminent public health issue, as more baby boomers turn 65 and older. To reduce the impact of these disabilities on mobility, visually impaired attend orientation and mobility training (O&M) sessions, in which they learn techniques to travel safely within their community. These techniques include how to use a white cane, walk in a straight line, or cross an intersection in urban environments. Clearly, O&M training exposes visually impaired to potentially serious harm, including accidental falls, and undesired contact with people and objects.
Our previous work demonstrated that a virtual/augmented reality (VR/AR) platform can help overcome these dangers. Trainees can learn and practice new O&M techniques in a completely safe environment, before translating them in the real world. However, our previous study focused on a single player platform, which did not allow virtual interactions between trainers and trainees.
In this Capstone Project, students will extend our previous work by implementing a VR/AR multiplayer platform in which two users (trainer and trainee) interact in a virtual environment. VR/AR will be exploited to simulate visual impairments in the trainee. Students will design an O&M training in a highly dangerous realistic environment, such as a busy intersection in NYC, and implement it in VR/AR. They will formulate and perform hypothesis-driven experiments with human subjects, toward investigating technology-mediated interaction in training sessions. Ultimately, we aim at demonstrating the potential of a multiplayer VR/AR platform to train visually impaired persons in O&M techniques in a controlled, safe environment.
No datasets required.
- Programming (preferably Unity, C#, and Python)
- Data analysis and visualization (using R, Python, or MATLAB)
We are looking for highly motivated students with a passion to explore and learn new concepts and ideas that range between engineering and medical science. Students should also show a keen and strong interest in rehabilitation and human-computer interaction.
- Students will learn how to develop advanced VR/AR platforms for future experiments;
- Students will learn to design experiments involving humans and their technology-mediated interaction;
- Students will learn to formulate and test research hypotheses in a statistical framework.
Trustworthy AI for Human Machine Interface
- S. Farokh Atashzar , Assistant Professor, Medical Robotics and Intelligent Interactive Technologies Lab (MERIIT @ NYU)
- Jackie Libby , Smart Cities Postdoctoral Associate, NYU CUSP
We exist in a world with advanced AI, yet there is a lack of AI for assisting disabled populations who cannot achieve basic manipulability functions. This project will be to develop trustworthy Machine Learning models to to address existing problems of human-machine interfaces.
This research project will try to answer whether: 1) AI models can be trained faster to exclude the need for high-performance computers; and 2) if calibration can be minimized for new users so that neuro-robots are easy to use and ubiquitous in less-developed regions.
For this, we will develop a new biosignal processing pipeline using artificial intelligence, specifically a shallow-hybrid neural network, which includes an engine for modeling long term and short term dynamical dependencies in the signal space. The model will be tested in comparison with exiting state-of-the-art algorithms that we have developed in the last years. For this, data will be used from large datasets available to us. There is a potential possibility of involvement in data collection, depending on the academic and research background.
Students are more than welcome to contact [email protected] with questions. See one of our recent efforts with applications in neurorobotics for more context.
We will use available large data sets on high-density electromyography and will try to predict the intended gestures. The data set includes high volume of signals collected from the upper limb of ~50 human subjects.
Academic/research background in machine learning and/or signal/data processing is encouraged.
Signal Processing, Deep Learning, Human-Machine Interface
Understanding Public Opinion About the Police in New York City
Defunding the police is a polarizing topic that is on the rise in the United States. Public opinion is generally divided due to controversial recent events that have involved law enforcement officers (LEOs). However, how we perceive or not violence around us likely contributes to our own assessment of LEOs’ necessity. In this project, we seek to carry out an analysis about the interplay between these two factors to study if violent incidents, whether from LEOs or criminals, shape the opinion of New York City (NYC) inhabitants.
Recently, public opinion has been inflamed by controversial police actions, in particular, by the use of excessive force to maintain public order. However, other factors are at play in defining public opinion to police. On one hand, violent episodes might have generated opposition to police. On the other hand, an increase in local crime could have fueled the demand for stricter law enforcement.
In this project, we seek to understand how local crime and incidents of police brutality contribute to shape public opinion. NYC is a great framework to investigate this relationship, due to its abundant data. To this end, we will undertake a massive data collection effort, by cataloguing tweets, which will allow us to track public opinion citywide using machine learning techniques for sentiment analysis. To obtain an accurate description of citywide violence, geolocated data on crimes will be collected from NYC Open Portal and NYPD databases. For the brutality episodes involving LEOs, we will build a dataset relying on Washington Post fatal police shootings and crowdsource databases.
We will test hypotheses that entail the driving forces behind public opinion: i) “Does the increase in crime rate lead to an increase in police supporters?”; and ii) “Does an increase in police brutality lead to higher support for defunding of police?”. We will apply parametric and non-parametric statistical tools to test our hypotheses and elucidate the emergence of spatio-temporal patterns. The results of the study will shed light on drivers of public-police relations and provide evidence to reform policy-making.
- Geo-located local crimes from 2006 to 2020 will be obtained from the NYC Open Data Portal
- NYPD keeps records, on an hourly basis and on a street level of all the various crimes committed in NYC from January 2020 up to date
- Washington Post records police killings from 2015 up to date with geolocation
- Official CAPstat registers payroll info, disciplinary summaries, and federal lawsuits from 2015 to 2018
- Mapping Police Violence Initiative from 2013 up to date
- Fatal Encounters Initiative from 2000 up to date
- Tweets will be collected using the official Twitter API with the help of Python package Tweepy and through The Ohio State University software Hydrator
- Older tweets will also be collected through web scraping through Twint GitHub initiative .
The Sentiment Lexicon dictionary from the University of Pittsburgh and the dictionary of sentiment words from Bing Liu and collaborators (University of Illinois Chicago) will be used for the sentiment analysis.
- Data extraction and web scraping (preferably Python or R)
- Data analysis and visualization (using Python, R or Matlab)
- Programming (preferably Python, R, or Matlab)
We are looking for highly motivated students with a passion to explore and learn new concepts and ideas, and with an interest in social media, sentiment analysis, and data science.
- Students will learn data collection and pre-processing methods and their importance.
- Students will be trained in the scientific method approach and hypothesis testing, and they will learn data modeling tools for analysis purposes.
- Students will learn to apply traditional tools of temporal analysis and information theory.
Challenges and Solutions for Walking with Assistive Wearable Robots in Urban Environments
- Joo H. Kim , Associate Professor, NYU Applied Dynamics and Optimization Laboratory
The goal of this Capstone project is to identify challenges for the locomotion of persons with lower-limb disabilities who use wearable robots (powered exoskeletons, prosthetics, etc.) for gait assistance. In particular, this capstone will focus on those related to urban environments, and possible solutions to overcome those obstacles. One of the reasons that wearable robots are not commonly used is the discrepancy between the challenging environment in real world as compared to well-controlled laboratory settings. In this capstone project, these under-explored aspects will be investigated.
Despite their recent advancement and growing demand, wearable robots (such as robotic exoskeletons and prostheses) developed for gait assistance for persons with lower-limb disabilities or older adults are still confined to laboratory settings. One of the main reasons for this is the challenging outdoor conditions and environmental hazards linked to outdoor falls, particularly in complex urban environments. Examples are poor snow/ice clearance and poorly maintained streets and sidewalks.
In this Capstone project, the factors that affect the usability and safety of gait-assistive wearable robots will be identified, and their possible solutions will be investigated. Broad range of aspects can be considered to identify the challenging factors, including but not limited to the perspectives of infrastructure, engineering, urban planning, and human factors. Any possible solutions can be suggested to enhance the reliability of assistive robots with respect to the urban hazards as related to stumbles, slips, and falls outdoors.
The students may use any publicly available datasets as related to this problem.
- Identify factors that adversely affect the safe use of gait-assistive wearable robots.
- Possible solutions to those challenging factors.
Mapping Agricultural Production in NYC (M.A.P. NYC)
- Wythe Marschall, Senior Research Project Manager, Food and Health, Invest NYC SDG (an initiative of the NYU Stern Center for Sustainable Business)
- Alice Reznickova , Ph.D., Industry Assistant Professor, NYU Tandon School of Engineering
To support an expanded, more just, and self-sustaining urban agriculture sector, Mapping Agricultural Production in NYC (M.A.P. NYC) is using data science to conduct research into NYC’s current food production and distribution. Having created the M.A.P. NYC platform in 2021, the project team is seeking CUSP students to employ this tool to research gaps and opportunities in the local food landscape, analyzing links between urban agriculture and food security status, health outcomes, and land use. Specifically, we seek to set a baseline for agricultural production as a policy recommendation to the new Office of Urban Agriculture.
Mapping Agricultural Production in NYC—M.A.P. NYC—is a tool for farmers, gardeners, researchers, politicians, and food activists that shows all existing food production in the city, whether commercial, non-profit, community, or school-based. M.A.P. NYC displays key food production and distribution data, and each entry is editable by verified users approved by the corresponding farm or garden.
In 2022, we are seeking a CUSP team to use the M.A.P. NYC tool to conduct research into the urban agriculture sector and its links to food security and land use. This work entails a strong research component as well as a light platform-maintenance one, as we seek to extend the utility of the tool and continue to manage the influx of data from growers.
First, we are seeking a team of data science students to analyze the available data and establish the baseline of what foods are produced in NYC, and to inform reasonable estimates about the future growth of the urban agriculture sector over time. Second, we would ask the data team to identify specific urban farming opportunities and distribution gaps. That is, we seek to improve food security in NYC by laying a foundation for an expanded urban agriculture sector, and specifically by establishing how to support urban farming in low-income neighborhoods.
Successful CUSP work will result in a data-driven report on the present and future of the urban agriculture sector in NYC with special attention to policy recommendations and opportunities to meaningfully improve food security.
The M.A.P. NYC tool may be extended by the new CUSP team. The current datasets that power the tool include:
- GreenThumb gardens (NYC OpenData)
- GrowNYC website list
- NYCHA garden dataset (provided by NYC Parks)
- School gardens (provided by GrowNYC)
- Potential garden locations (Local Law 46, 2018, via NYC OpenData)
- Survey of ~100 large (commercial) farms and gardens
- Community garden list curated by 2021 CUSP team
- All retail food stores (NY State Open Data)
- SNAP retail stores (USDA Food and Nutrition Service)
- Food pantry locations (provided by City Harvest)
- DOHMH Farmers Markets (NYC OpenData)
- 2018 NYC PLUTO tax lot data (from DCP)
- Health and demographic data (from American Community Survey via Data2Go)
- NYC Subway stations (NYC OpenData)
- CDC Physical and Mental Health Data (CDC Open Data)
The CUSP team should possess a command of relevant data science concepts and skills, including database management, statistics (including linear and nonlinear regression), and data analysis (Python).
Regarding the map tool, ideally, the 2022 team would also include a software engineer/developer with some full stack experience (Node back-end, Mongo database, React-hooks or Vue front-end) and some visualization experience (Mapbox GL, minimal D3). Spatial statistics (Turf) would be a plus. Basic web design skills, for maintenance of the tool, are also required, although the focus of this project is research.
Comfort with and interest in physical and human geography as well as visual design are important, although domain expertise in these areas, along with agriculture and the social sciences, are not required. The project managers will provide an introduction to research in food systems studies as well as facilitate contacts among farmers, gardeners, and other stakeholders as required by the CUSP team’s research plan.
The team should expect to attend weekly meetings by Zoom and collaborate on research documents using the Google Workspace suite of tools.
The CUSP team will learn to collaborate across disciplines, bridging data science into food studies, business anthropology and sociology, critical geography, urban design, and user experience design. Large and dynamic datasets will inform the construction of a research methodology into the urban agriculture sector’s present character and possible future paths. The tool—a public, visual map—will serve as both a resource for research as well as an object to be improved by research.
In terms of social scientific research outcomes, the CUSP team will learn to develop and refine a clear research question regarding food and society, focusing on the role of urban agriculture. The CUSP team will develop a methodology for correlating urban agriculture data with data regarding other social phenomena (e.g., neighborhood-specific food security, neighborhood-specific health outcomes), as well as identifying and categorizing opportunities for novel urban farms and their likely impacts on health.
This research process will culminate in two deliverables: one, a report that summarizes research findings with an eye toward policy recommendation and also points to future research needs, including methods for addressing any gaps identified in the data. Two, the CUSP team will update the M.A.P. NYC tool as possible in response to their research findings (e.g., improving the visualization of gaps and opportunities and/or adding new layers of data on socioeconomic indicators).
Shape Estimation and Data-driven Intelligent Control of Soft Robotic Upper-limb Exoskeletons for In-home Telerehabilitation
In our aging society, neuromuscular disorders like stroke are becoming more prevalent. With that comes an increasing need for labor-intensive physical therapy, which is prohibitively expensive for many patients in need, resulting in long-term paralysis from lack of appropriate care. Soft robotic exoskeletons can deliver safe, in-home, and quantifiable teletherapy for these patients. We are building a soft exoskeleton to control the hand, wrist, and elbow. We are fabricating, sensorizing, and controlling soft modular actuators. Shape estimation and control of soft robots is nontrivial. In this project, CUSP students will work with us to fabricate soft robots and train machine learning models for shape estimation and data-driven control.
In the MERIIT lab, we are building a soft robotic exoskeleton for telerehabilitation. It has over 15 degrees of freedom (DOF). Each DOF is controlled by a soft module, custom-made in our lab with 3D printing and casting, and pneumatically controlled.
Soft robotic actuators are continuum robots. The kinematics of rigid robots can be captured by simple encoders. The kinematics of soft robots must be modeled with many more parameters. These models are unknown, subject to uncertainties and unmodeled dynamics. Thus, the control of these complex systems is a challenging problem. For a rigid robot, the reference commands can be analytically calculated. With a soft robot, machine learning and data-driven modeling combined with analytical computation can be used to map the reference commands to the resulting shape.
Students will be given experimental data from our soft robotic modules. The data includes pressure inputs from the pump station and optical data from cameras. They will clean and process this data and then build machine learning algorithms. They will use computer vision to perform shape estimation. With self-supervision, the shape labels will be used to train a model. The model will take pneumatic pressure commands as input, and it will output the resulting shape of the soft module. Students will also get involved with soft robotic fabrication, controls, sensorization, processing of other biosignals in our lab, and the corresponding learning techniques.
We have collected data on the kinematic behavior of a large amount of soft robotic actuators being custom-made in our lab. The data includes optical/vision sensing, force sensing, and pressure/voltage readings from pneumatic pumps. We have been collecting this data for many of our custom-fabricated actuators. These actuators differ in size, form, function, and material properties, resulting in very rich data. We also have simulated data from Finite Element Analysis models for our actuators, which can be fused with our real data for hybrid learning approaches. We continue to collect new data from other biosignals in our lab, including Electromyography (EMG), Mechanomyography (MMG), microphones, and more.
- Computer vision
- Deep/Machine learning
- Sensor fusion
- FEM modeling
- A learned model to estimate the kinematics for soft robotic continuum actuators.
- Experience with the modeling, control and design of soft robots.
- Experience with computer vision, deep learning, and self-supervised learning applied to robotic systems.
- Experience with the fabrication of soft robots.
Modern Civil and Communications Infrastructures
Addressing Complexity of Urban Networks with Deep Learning
- Stanislav Sobolevsky , Associate Professor of Practice, NYU CUSP, Urban Complexity Lab
Over the recent years, Graph Neural Networks (GNNs) have become increasingly popular in supplementing traditional network analytic techniques. The capstone project will seek proof-of-concept applications on the GNNs and the Hierarchical GNNs in particular to diverse cases of urban network analytics ranging from urban mobility and transportation networks, social media analytics, social networks, urban infrastructure, environmental sensing and beyond.
A city is an interconnected complex system and requires network analysis to be understood. Over the recent years, Graph Neural Networks (GNNs) have become increasingly popular in supplementing traditional network analytic techniques. At the same time, many conventional approaches in network science efficiently utilize the hierarchical approaches to account for the hierarchical organization of the networks, and recent works emphasize their critical importance. Our lab is working on a novel model of the Hierarchical GNN , accounting for the hierarchical organization of the urban network and connecting the dots between the traditional network science approaches, vanilla Neural Network, and the GNN architectures. This Capstone project will seek proof-of-concept applications on the GNNs and the Hierarchical GNNs to diverse cases of urban network analytics ranging from urban mobility and transportation networks, social media analytics, social networks, urban infrastructure, environmental sensing and beyond. The practical applications may range from predictive modeling and detection of patterns, impacts, and emergent phenomena in urban mobility and social interactions, urban zoning and regional delineation, classification of urban actors and locations, detecting critical bottlenecks in urban infrastructure, data verification and extrapolation in sensing urban environment and/or quantifying population exposure to urban stressors.
LEHD, NYC TLC and other taxies/FHV, CitiBike, public transit, Twitter, migration data, financial
- Network analysis, neural networks, pytorch or tensorflow, natural language processing and/or social media analytics experience is a plus (optional)
- Background in urban transportation, planning, environmental sensing is a plus (optional)
- Learn how to train supervised and unsupervised graph neural network models;
- Explore applicability of graph neural networks for urban network analysis;
- Publication in multidisciplinary, urban or computer science venues.
Airport Departing Passenger Profile Curve at EWR Terminal B: Understanding passengers’ journey through PANYNJ airports
- Rohun Iyer, Senior Data Scientist, Port Authority of New York & New Jersey
- Ai Yamanaka, Data Analytics Program Manager, Port Authority of New York & New Jersey
This project aims to create a prototype of a departing passenger profile curve to help EWR Terminal B proactively manage its terminal frontage, baggage/check-in, and TSA queues. Using data from various stages in a passenger’s journey at our airport terminal, we hope to estimate when and where passengers will be throughout their airport journey. The model should consider industry knowledge of passenger dwell times and other passenger preferences. Understanding how passengers interact with our terminal will allow EWR Terminal B management to highlight pain points in their journey and plan for future improvements in design or technology.
Air passenger travel behavior has become harder to predict following COVID-19. Having a clearer picture of when passengers arrive for departing flights, how long they wait for security inspections, and how they travel through the terminal will help airport operations team enact solutions (I.e. wayfinding, queue management, staff deployment, capital construction) to better improve customer experience at our airports. Prior to 2019, passenger show-up profiles, as well as general trends observed by industry experts, provided a reasonable model of how passengers flowed through the terminal. We hope this new prototype can help update these assumptions to reflect post-pandemic travel.
Using collected data from numerous points in the passenger journey through the airport (“from curb to gate”), we would like to build departing passenger profiles to create near-term and long-term passenger flow predictions and profiles. Our focus will be on EWR Terminal B (the only terminal that the Port Authority both manages and operates). We have insight into the use of terminal frontage, check-in counters, security checkpoints, and gates, but we have not been able to connect these disparate data sources to create an estimated passenger profile.
This prototype model and accompanying paper should answer the following questions:
- How does seasonality or weather affect these times?
- Does this change depend on the type of passenger or where they are flying?
- Where do passengers dwell in the airport? Why?
- Can we predict pain points in the airport based on who is departing/arriving?
We will be using various datasets available and regularly used by the data analytics team. These include, official detailed airline flight schedules, PA operational historical flight data, TSA throughput and wait times, CBP throughput and wait times, FHV (for-hire vehicles) frontage data, NYC TLC taxi data, Newark Terminal B baggage scanner data, PA Air Train hourly data, historical passenger survey data, MTA subway, and bus data, official publicly available government data from the DOT and FAA, official reported PA passenger counts, and an internal departing passenger TSA throughput predictive model output.
All the following datasets are available in our centralized data warehouse or accessible through various teams across the department:
- Arrival/Departure times
- Seat counts
- Delays, cancelations, taxi times
- Broken out by checkpoints
- Official throughput values also included
- PA CBP Throughput and Wait Times
- FHV Frontage Data
- NYC TLC Taxi Data
- EWR TB Baggage Scanners
- PA AirTrain hourly usage
- ACI Surveys
- MTA Subway and Bus data
- DOT O-D data
- PA Official PAX counts
- PA Departing Passenger Predictive Model
- We would like a prototype map/simulation of what this could look like. We have shapefiles to provide.
- Basic data analytics capabilities (in Python or R)
- Week/Month long simulation of passenger throughput at the terminal. Highlight hotspots of passengers at the airport through a day.
- This analysis should help us determine where and how we can improve operations at the airport.
- Recommendations to applying similar methods to other terminals
- Learning outcome: Machine learning experience in a business setting, creating assumptions and backing them up with evidence and building a platform to carry to the rest of the department
Audio-Visual Vehicle Localization for Urban Traffic Monitoring
- Magdalena Fuentes , Assistant Professor, NYU Music and Audio Research Laboratory (MARL)
Monitoring road traffic is key to ensuring user safety and smooth operation. Increasing traffic volumes impact the stress level of commuters and increase noise levels in communities, leading to health problems. Local authorities need reliable monitoring systems to create policies to help mitigate this. Ideally, automatic monitoring systems should be able not only to count vehicles but also to detect the type of vehicle (e.g. car, truck). In this project we aim to develop a system for classification of vehicles that delivers audio-visual data for the robust localization of vehicles in the wild.
This project investigates the use of audio-visual self-supervised deep learning models for the location of vehicles in urban settings, as a step towards building efficient urban mobility systems. Instead of using labelled data, self-supervised models learn by identifying intrinsic characteristics of the data, which they use to accomplish a given task. These models can be trained on unlabelled recordings and images of natural scenes, for which there is an abundance (e.g. YouTube videos), and they tend to outperform supervised models in practice.
This project consists of three stages:
- A stage of data analysis from a well-curated dataset of audio-visual urban data to get familiar with the data and the problem;
- Adaptation of a state-of-the-art self-supervised audio-visual model to work with this data;
- Analysis, evaluation and visualization of results and document writing.
We will use data and code resources from previous work within our team. The goal of the project is to answer the questions: How well can we localize vehicles in urban settings with self-supervised models? Which conditions (e.g. poor lighting or noisy environments) affect the performance of these systems the most?
This project is a continuation of a previous Capstone project , which students can review for examples of the type of things this team will be doing.
We will use a dataset of audiovisual road traffic monitoring from the MARL team.
The students should be comfortable with Python and familiar with data analysis tools such as pandas or seaborn packages. Having a machine learning background is also desirable (basic classification models such as random forests and test/train splits for evaluation).
To conduct such a project we need audio-visual annotated data to train and assess the performance of the system. We will use our team’s data for that, and a first deliverable would be an analysis of the dataset, its challenges and a definition of subsets of the data to address the problem at different levels of difficulty. Secondly, the students will get familiar and adapt a state-of-the-art self-supervised model (which code is publicly available) to work on our data. Such model was trained with large amounts of data and proved to work successfully in many cases, but has not been tested in urban data yet. So the second deliverable would be the code adaptation of this model to work with new data and a small technical report of the changes needed. Finally, the students will use the model to localize vehicles in urban settings and perform an ablation study on the impact of different conditions on the performance of the system. The final deliverable would be a report with a summary of the work carried out, and visualizations of the predictions that the model produced after its adaptation, and main conclusions along with the associated code used.
Behavior Modeling Using Multi-Modal Mobility Data
- David K A Mordecai, Co-Advisor, RiskEcon® Lab for Decision Metrics ; Visiting Scholar, NYU Courant
- Samantha Kappagoda, Co-Advisor, RiskEcon® Lab for Decision Metrics ; Visiting Scholar, NYU Courant
Develop and demonstrate methods for analyzing patterns found in mobility data, such as the aggregate tracks of vehicle populations. An expanding collection of research indicates that information about the movements of populations (i.e., syntactic trajectories) provide informative patterns. This project will explore how multiple sets of data can be jointly analyzed.
1. The primary data corpus will be the traces for taxicabs in New York City .
2. Secondary sources of data include the following: (a) dates of movable holidays , e.g., Easter; (b) daily weather data e.g., temperature highs and lows, precipitation, and wind storm conditions (see examples [ 1 ] [ 2 ]).
3. Prospective ancillary (tertiary) data sources could further include arrivals and departures at one (or more) major transportation hub(s):
- Cruise line and ferry terminals
- Airport(s) (e.g., La Guardia Airport, JFK Airport, Newark Airport)
- One or (more) train station(s) (e.g., Penn Station or Grand Central Station)
- Corresponding schedules for major sporting events, performances, and conventions or trade shows.
These data will be employed to investigate patterns across syntactic traces/trajectories in order to perform exploratory data analysis and unsupervised learning related to the following questions:
- What is the correspondence between the volume of taxi departures from a particular transit hub and the arrival times of trains or planes?
- What diurnal patterns are evident?
- How does the level of activity vary over the week (e.g., weekdays, weekends, holidays)?
- What are differences exhibited due to weather conditions?
- Do differences correspond to train arrival terminals, holiday date(s), time(s) of arrival (diurnal/nocturnal), or weather conditions (e.g. temperature, precipitation)?
- Are transit disruptions (e.g., flight cancellations, rail delays) detectable by analyzing the taxi activity?
Another adviser to this project is John Irvine, Department Manager for Civil Defense at MITRE Corporation, and affiliated with RiskEcon® Lab as a Senior Science Advisor-in-Residence with a PhD (Yale Mathematical Statistics), as well as Adjunct Professor appointments on the Health Faculty at Queensland University of Technology and the Institute for Glycomics at Griffith University. Previous to MITRE, he was the Chief Scientist for Data Analytics at The Charles Stark Draper Laboratory, Inc. With 40 years of professional experience, he has led numerous projects in remote sensing, and served on multiple boards and advisory panels, and is active in the research community with over 200 journal and conference publications.
The primary data corpus will be the traces for taxicabs in New York City . Secondary sources of data include the following: (a) dates of movable holidays , e.g., Easter; (b) daily weather data e.g., temperature highs and lows, precipitation, and wind storm conditions (see examples [ 1 ] [ 2 ]).
- Reasonable proficiency with statistical applications in NumPy, SciPy and/or R
- Basic familiarity with exploratory data analysis, clustering, anomaly detection, outlier analysis is helpful
- Problem-solving and experimental design skills with real-world application.
- Domain-specific application of statistical reasoning and hypothesis testing.
Building Accessible City by Self-Supervised Visual Place Recognition
- Chen Feng , Assistant Professor, NYU AI4CE Lab
- Chao Chen, Ph.D. Candidate, NYU AI4CE Lab
Visual Place Recognition (VPR), which aims to identify previously visited places during navigation. In the context of SLAM, VPR is a key component in relocalization when the tracking is lost. Existing learning-based visual place recognition methods are generally supervised and require extra sensors (GPS or wheel encoder) to provide ground truth location labels. Differently, we want to design a self-supervised method for visual place recognition which can smoothly recognize the visited locations in a single scene environment without any ground truth labels. The method should be able to handle a variety of input modalities, including point clouds and RGB pictures.
Visual place recognition (VPR), aiming to identify the re-visited places based on visual information, is a well-known challenging problem in computer vision and robotics communities because of visual appearance variation. VPR is crucial in autonomous navigation systems, and is closely related to the concepts of re-localization, loop closure detection, and image retrieval.
Most of the state-of-art methods are supervised, which requires geographical location information in the training dataset. For most indoor scenarios, geospatial information, like GPS, is not obtainable for supervised training. And if GPS can be retrieved, the need for visual place recognition will be less essential. This would reach a paradoxical situation.
- Supervised Model: The team will implement a Supervised method
- Self-Supervised model: The team will modify the current model to an Self-supervised model version purely dependent on the temporal information
- The team will complete a review on visual place recognition
- Create a large scene Point Cloud dataset based on template given
- Create a habitatsim environment for Image dataset using a 360 degree RGBD camera
- Design a new suitable framework to fill the performance gap between supervised and self-supervised methods
- Image dataset from previous year: https://ai4ce.github.io/NYU-VPR/
- Existing point cloud dataset can be used for initial testing. After the new model is developed and deployed, we should deploy the model on 2D real 360 degree point cloud dataset and 2D simulated habitatsim environment. We could also collect image dataset ourselves.
- Contrastive learning
- Self/Weak-supervised learning
- Feature learning
- Topology Mapping
- Self-supervised localization
- Machine learning
- Create simulated dataset
- Play with real dataset and check how real dataset differs from simulated dataset
- An self-supervised model that operates with a given minimum performance level on the provided test data.
- A literature review on visual place recognition, contrastive learning, and feature learning representations.
Data-Driven Agent-Based Modeling of Fake News Dynamics Over Online Social Networks
- Quanyan Zhu , Associate Professor, NYU CUSP
The spread of misinformation through social media has led to significant issues in sectors like public health and political discourse. We leverage Twitter data to create misinformation models using agent-based models. We aim to understand the spreading pattern of misinformation and the human response to it. This research will also create intervention mechanisms that will combat the spreading of fake news and its impact on the population.
The pervasiveness and accessibility of social media across vast networks of people have rendered it a prime target for spreading malicious misinformation. Historically, social bots have often been deployed targeting certain groups of people in a social network, often with a political agenda. The recent spread of the coronavirus pandemic has also suffered from the spread of harmful and misinformed health-related news. This project aims to use agent-based modeling to model the spread of misinformation in a social network, and couple the spread of misinformation with the spread of a real-world disease. The project aims to use Twitter data to create a heterogeneous network to replicate a real social network by accounting for varying node centrality and creating connections based on shared geographical, political, or general interest attributes. This research will deploy social bots that constantly spread misinformation in the network. We will study the vulnerabilities of the agents based on the agent’s political biases, trust with the agent sharing the misinformation, as well as previous experiences with getting misinformed. We aim to understand how the misinformed agents respond to health-related misinformation and predict the impact of fake news in the real world.
There are many online Twitter datasets that can be used for this research. The students can also collect their own datasets from Twitter.
The students should have fundamental programming skills and interest in system modeling and research.
Learning Outcomes & Deliverables
- Create agent-based models based on datasets.
- Analyze the pattern of spreading.
- Create methods to combat fake news and its spreading.
Learning Efficient Multi-Agent Robotic Navigation for Exploration and Mapping
- Giuseppe Loianno , Professor, NYU Agile Robotics and Perception Lab ([email protected])
This project involves formalizing, both theoretically and experimentally, distributed multi-robot (i.e. swarm) navigation and exploration problems leveraging Graph Neural Networks (GNNs) architectures within the context of reinforcement learning policies. This approach directly employs the graph structure to enable resolution of the multi-robot navigation problem, by leveraging a distributed representation functionality of modern GNN methods, and thereby potentially enabling prospective scalability for large swarms comprised of hundreds of agents. The approach is initially envisioned as a model-free implementation with the option to extend to a model-based (or hybrid) implementation for comparison, as well as scaling to a large number of agents (𝑛 >> 3).
Design and Simulation Setting:
- Each drone has its own policy and decides its action independently.
- The state-history (i.e., mapping coverage of the environment) and relative position of each drone comprising the swarm is signaled pairwise.
- State and action spaces are discrete.
- Initially a small number of drones employed (𝑛 ≤ 3) and then scaled (𝑛 > 3).
- Initially a two-dimensional spatial environment (which could be expanded to three-dimensions).
This represents a further advancement by the extension and expansion of progress for a previous CUSP Capstone project, towards a publication which would incorporate results of both the proposed CUSP Capstone project and the previous CUSP Capstone project. The previous Capstone project in process only entails convergence of strategies for discrete stepwise navigation actions and coverage for adaptive motion planning by a pair of drones (𝑛 = 2), in order to optimize a pairwise objective function via reinforcement learning policies acting on tables.
One limitation to scale for this setting is that of redundant action increasing in proportion to the number of drones acting independently. This limitation to scale might be addressed by applying the aforementioned GNN policy network. In the GNN policy network, each node represents a drone, and each edge represents communication between drone pairs regarding state information (e.g., Kalman state transition matrix representation and/or syntactic traces as a transition vector representation summarizing path history) and corresponding relative position of each respective drone. Using such state information, the drone will be able to take optimized action to map the environment collaboratively. We can evaluate its performance by how efficiently the drones mapped the environment (e.g., time steps to reach 95% coverage). By employing a GNN, the aforementioned corresponding state-action spaces for each drone prospectively might be further augmented with structured and unstructured data streams, e.g., optical flow data (images collected by each drone) as supplemental state data and inertial measurement unit (IMU) data (drone acceleration) as supplemental action, in order to govern autonomous both agent-specific and aggregate drone swarm behavior in real-world environments.
Synthetically generated data from simulation.
- Proficiency with coding (e.g. SciPy, NumPy, Julia).
- Basic background or familiarity with robotic SLAM, adaptive state estimation/control, or state modeling (e.g., Kalman Filter) is beneficial.
We expect to produce publications and source code related to this project
Low-Power Computer-Vision Counting Research
- Paul Rothman, Director, Smart Cities + IoT Lab, NYC Mayor’s Office of the CTO
Many City agencies are involved in the use, planning, and design of public space but good data on pedestrian flows can be hard to come by. Manual counts take coordination and planning as well as staff costs. Computer-vision (CV) counting technologies are being tested in the city now but it is already clear that the infrastructure requirements (tapping into electricity and mounting to light poles) will be a limiting factor in using this technology more broadly and particularly for shorter-term studies where the infrastructure investment is not worth the time and effort. A low-cost, battery-powered CV sensor can help fill the data gap and allow agencies to utilize privacy-protected automated counts in short-term deployments with minimal infrastructure requirements.
In recent years, many hardware manufacturers have created development boards that support low-power computer vision (LPCV) applications. In addition, there has also been a fair amount of research done within academia to create low-power models for LPCV. This proposal aims to take advantage of recent technology advances to develop a hardware device that can be battery operated and utilized by New York City agencies to count pedestrians as they move through public space in the city. As an added resource to the proposed R&D, partnering with a technology developer as a development partner is a possibility.
In terms of requirements, the device should aim to work in outdoor environments, run off a battery for 2-4 weeks (either standalone or with PV), connect to the cloud via LoRaWAN or cellular, and be able to detect at least one object type at a time, e.g. pedestrian or cyclist).
This project is design to create new datasets.
Hardware engineering, AI/ML/CV development, data visualization
An understanding of how to achieve useful computer vision applications using low-power electronics and visualizing count data contextually in ways that make it relevant for the agency use case.
Rapid Detection of Power Outages with Time-Dependent Proximal Remote Sensing of City Lights
- Gregory Dobler, Assistant Professor, Multi-city Urban Observatory Network , University of Delaware
- Luis Ceferino , Assistant Professor, NYU CUSP
In this capstone project we propose to use imaging data collected from CUSP’s “Urban Observatory” (UO) facility to build a data processing pipeline and application that can detect and geolocate power outages and restoration in near real-time. The UO’s historical imaging data set includes visible wavelength images of Manhattan at a cadence of roughly 10 seconds per image. An analysis of the lighting variability patterns in these images will be used to identify clusters of lights synchronously turning “off” in the images and with photogrammetric techniques, the geospatial location of those lights will be determined.
The “Urban Observatory” (UO) was first created at CUSP as a facility for studying cities as complex systems using proximal remote sensing (Dobler et al., 2021, Remote Sensing, 13, 8, p.1426). Operationally, the UO consists of imaging devices atop tall buildings located at a distance of 1-5 miles from a city that operate in “survey mode”, continuously acquiring images of the city skyline and transferring those images back to a central server for analysis. Typically, the cadence for image acquisition at visible wavelengths is one image per 10 seconds. Previously, we showed that an analysis of these images at night using signal processing, computer vision, and machine learning techniques yields diurnal patterns of lighting variability for city lights (Dobler et al., 2015, Information Systems, 54, pp.115-126). In this proposal, we seek to leverage this capability to develop a method for automatically detecting power outages in near real time by searching the historical UO imaging data set for collections of “off” transitions of individual light sources that are spatially clustered in the scene and that occur simultaneously, indicating a likely power outage. We will then monitor those sources for the return (via “on” transitions which may or may not be simultaneous) to power restoration. Further, we will use the analysis coupled with simulated outages due to extreme conditions, e.g., hurricanes, to build outage and restoration models that take environmental and infrastructure conditions into account as key input variables for a probabilistic classification of likely outages (Ceferino et al. 2021: https://engrxiv.org/pu5da/ ).
The primary data sets that will be used are the historical CUSP visible wavelength imaging data set (consisting of millions of images at 10s cadence over months and years) that is available on the CUSP servers, publicly available topographic LiDAR for photogrammetric geolocation of outages, and publicly available weather information (winds and precipitation for rain and snow).
Students should be familiar with Python and statistical analysis on numerical datasets. Expertise with NumPy and array-based operations is a plus, particularly as it might relate to signal and image processing. Familiarity with geospatial data and operations using GeoPandas is also a plus, as is experience with interactive visualizations (Plotly, Bokeh, etc.) or dashboard design (e.g., JupyterDash).
- Image processing and computer vision
- Dashboard design and construction
- Large scale data fusion methodologies
- Probabilistic modeling and risk analysis
- Estimates of power distribution continuity
- Rapid alert systems for outages, even in the absence of monitoring
- Situational awareness and emergency response assessment
RealCity3D: A Large-Scale Georeferenced 3D Shape Dataset of Real-world Cities
- Wenyu Han, Ph.D. Candidate, NYU AI4CE Lab
Existing 3D shape datasets in the research community are generally limited to objects or scenes at the home level. City-level shape datasets are rare due to the difficulty in data collection and processing. However, such datasets uniquely present a new type of 3D data with a high variance in geometric complexity and spatial layout styles, such as residential/historical/commercial buildings and skyscrapers. This work focuses on collecting such data, and proposes city generation as new tasks for data-driven content generation. In addition, a proposing new city-level generation models is also included in this project.
As an important arena for human activities, cities have been a focal point of research. Alongside the rapid advancement of image/video generation, data-driven 3D city generation has become more feasible and appealing because of 1) the increasing availability of city-level remote sensing, and 2) the intensification of data-driven methods in architecture and urban planning.
While deep generative models are successful for various data modalities, including language, audio, image, video, and even point clouds, the limited publicly available 3D real-world city datasets makes it difficult to apply deep generation methods towards city-level geometric generation.
The team will work through 3 stages:
- The team should try to retrain our baseline models on Realcity3D datasets and extend our AETree baseline to more blocks.
- The team should propose some city-level generation models (should include 2D and 3D data) and train on Realcity3D datasets.
- The team will complete a review on data-driven generation methods and datasets for geometric generation.
- The team should follow the same way of collecting data as the author did to collect more data on other cities in order to increase the diversity of the Realcity3D dataset.
Existing Realcity3D data of NYC and Zurich will be used for stage 1. We need to collect more data of other cities in stage 3.
- Self-supervised learning
- 2D and 3D data processing
- Python basic and PyTorch DL library
- Data management experience
- Data collection and analysis
The team will be using a broad range of deep learning models that will result in proven abilities in: computer vision, content generation, urban planning, and machine learning.
- Retrain and extend our AEtree baselines and get reasonable results.
- Propose some generation models for city-level geometric generation and get some baseline results.
- Extend Realcity3D data to more city data.
Study of Indoor Spaces Occupancy and Its Correlation with the Performance of HVAC System
- Yurii Piadyk , Ph.D. Candidate, NY CUSP
Buildings consume around 40% of total US energy use, while heating, ventilation, and air conditioning (HVAC) systems account for 74% of building energy consumption. Current HVAC systems often rely on a fixed schedule, which typically results in conditioning of indoor spaces unnecessarily, without knowing the actual flow of the users. In this project, we directly measure the occupancy of university indoor spaces using a distributed sensor network. We then investigate correlation between the performance of the HVAC system and actual occupancy of these spaces to provide insights into building use patterns for adaptive control strategies of the HVAC system.
Without knowing the exact occupancy, building HVAC control systems may set air flow rates for ventilation at a high percentage of maximum air flow rate unnecessarily. Overventilation results in significant energy use and discomfort for occupants.
We plan to use a Reconfigurable Environmental Intelligence Platform (REIP) and a set of 4-6 existing sensors with video and edge computing capabilities to directly measure the user occupancy in public areas of NYU CUSP facilities. For privacy reasons, no video data will be stored but only the outputs of live object (e.g person/user) detection. Students will need to extend the sensor capabilities to environmental (i.e. temperature & humidity) sensing by designing a simple hardware module based on Arduino microcontroller and implementing a corresponding REIP software block.
A total of a couple weeks of data collection (mid-project milestone) will then be used to correlate the occupancy of the spaces (strategically chosen using the floor plans) with the performance of the HVAC system (i.e. temperature & humidity at that time). Our findings about the building usage patterns could help reduce energy waste, carbon and environmental footprint of the building via suggested adjustments to the air conditioning regime. The project is also aiming to demonstrate feasibility of live detection of indoor spaces occupancy using REIP platform, that could be used in dynamically controllable HVAC systems for even better performance and energy efficiency.
The data will be acquired by the students with an option of cross-checking with the data from the building HVAC system (upon availability).
An ideal size of the team working on this project would be three students with a collective prior experience in at least one of:
- Work with physical sensors (Arduino / C);
- Python programming language;
- Data analysis and visualization (e.g. Pandas / Matplotlib, R or MatLab).
After completing the project, students will learn how to design physical sensors for measuring air temperature & humidity, and extend REIP by providing corresponding hardware and software components. Students will acquire weeks worth of user occupancy data and analyze it using Python programming language and common libraries, such as numpy, pandas, matplotlib, etc.
The Electric Commute: Envisioning 100% Electrified Mobility in New York City (TEC-NYC)
- Robert Mieth, Postdoctoral Researcher, SEARCH Group, NYU Tandon
Every day, almost two million persons enter and leave the central business district of Manhattan using light-duty vehicles such as cars, taxis, vans, or trucks. Currently, around 1% of these vehicles are electric. This project aims to quantify the ramifications of a 100% electric commute in New York City. We will create a model that translates NYC’s transportation needs into electric charging demand, including emerging mobility trends (e.g., electric scooters) and remote work patterns. Interactive visualizations produced by the model will allow citizens, urban planners, and politicians to analyze the impact of mobility electrification and their policy decisions.
TEC-NYC will offer unique insights on the practical challenges of a 100% electrified transportation sector in dense urban areas. This project focuses on New York City, but the methodology will be transferable. The project comprises three central milestones, each focusing on different skills of data processing.
First, we will create a comprehensive data set on the transportation needs between central Manhattan and the greater New York Metropolitan area. This data set will differentiate between the various modes of transportation and the commuted distance. Complementary, we gather data on NYC’s power system infrastructure and the technical specification individual electric transportation (e.g., e-vehicles, e-bikes, and e-scooters).
Second, we will combine the gathered data such that we can answer the following questions: If all transportation switches to e-mobility, what will be the charging demands in the city? How many commuters can switch between different modes of transportation? What would be the best combination of commuting modes for the needs of the commuters and the available infrastructure? This milestone requires data-analytics skills, including identifying cross-correlations and extrapolating data trends, e.g., to quantify the impact of remote working arrangements.
Finally, TEC-NYC will visualize the data in an interactive and engaging manner. The user will be able to change model parameters (e.g., how many commuters exchange their car for an e-bike) and observe the impact on the city’s power system. We will ask: Can you tune The Electric Commute to suit the city and its citizens?
The data required for TEC-NYC is readily available through online resources and from our previous projects.
The transportation model will mainly be derived from the “Hub Bound Travel Data” published by the New York Metropolitan Transportation Council. Additional required data is publicly available from the NYC Open Data Platform, the NYC Department of Transportation and the Port Authority of New York and New Jersey. We will provide a detailed list of the relevant data sets and their sources.
Information on e-mobility technology and NYC’s power system infrastructure is available from our previous research. Data on distribution and transmission infrastructure will be “artificial but realistic” to accommodate security concerns related to the publication of real data on critical infrastructure. This data has been tested and used and will provide a realistic foundation for the planned analyses.
Students should have fundamental knowledge on data analysis and processing, i.e., be at least comfortable with Excel and have some experience in a high-level programming language (Python or Julia are preferred). Further, students should be familiar with fundamental methods of data analyses such as regression models, correlation analyses and histograms.
Ideally, the students have advanced knowledge in Python, Julia, Matlab or similar data processing language, have experience in collaboration and version control tools such as Git, and are familiar with data-visualization packages such as Plotly or Bokeh.
Each of the three milestones of TEC-NYC will address a central data analyses skill and will provide important insights. During the data collection, project members will learn how to access and handle large public data sets. They will learn the fundamentals of good data hygiene and database control. Students interested in power systems will gain additional insights through infrastructure data that is not publicly available. The initial data set will be the first deliverable.
For the second milestone, students will be required perform data anlysis tasks, e.g., suitable aggregation and de-aggregation, identifying trends and correlations. Depending on progress, more advanced data analytics methods, e.g., modelling traffic patterns using Markov decision processes are possible. The resulting second deliverable will be a numerical model that, at minimum, maps commuter numbers and modes of transportation, to electricity demands in the city.
Finally, the third milestone will strengthen the project member’s skills to design and implement an interactive data visualization tool. Depending on the student’s interests and previous experiences, such a tool can be created online of offline, with or without real-time calculation abilities. For this deliverable, we aim to focus on creating a visualization that not only makes a large data set accessible but is engaging to the user. We plan to achieve this by pursuing a carefully “gamified” approach, e.g., by asking provocative questions to the user or including exaggerated visuals if the user chooses infeasible input parameters.
V2X-Sim - Collaborative Perception for Self-Driving in Urban Scenes
- Yiming Li, Ph.D. Candidate, NYU AI4CE Lab
Vehicle-to-everything (V2X), which refers to collaboration between a vehicle and any entity in its vicinity via communication, might significantly increase perception in self-driving systems. Due to a lack of publicly available V2X datasets, collaborative perception has not progressed as quickly as single-agent perception. For this capstone project, we present V2X-Sim, the first public synthetic collaborative perception dataset in urban driving scenarios. The team will train, test and deploy computer vision (CV) and deep learning (DL) models for collaborative perception on V2X-Sim dataset.
Vehicle-to-everything (V2X), which denotes the collaboration between a vehicle and other entities such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I), seeks to help self-driving vehicles see further, better and even see through occlusion, thereby fundamentally improving safety. According to the estimation of U.S. NHTSA, there would be a minimum of 13% reduction in traffic accidents if a V2V system were implemented, which means 439,000 fewer crashes every year.
The V2X-Sim project aims to provide lightweight collaborative perception technologies for use in urban driving scenarios. The main tasks include: (1) design high-performance and low-bandwidth multi-agent collaboration strategy in the high-dimensional feature space, (2) develop effective and efficient multimodal learning framework based on RGB image and LiDAR point cloud, and 3) improve the system robustness against communication latency and sensor noise.
The Capstone team will train, test and deploy CV/DL models for the collaborative perception tasks including multi-agent collaborative detection, tracking and segmentation. Existing V2X-Sim dataset will be used for training and evaluation. Data-driven multi-agent 3D scene understanding methods could also be explored.
- The team will train and test a model built using V2X-Sim dataset.
- The team will design a multimodal learning framework based on different sensory input.
- The team will test the robustness of the model against realistic noise, and make improvements.
Alternatively, the team may choose to build a real-world V2X dataset, which is to be discussed with the PI.
Given that building a collaborative perception dataset in the real world can be costly and laborious, we had built a virtual dataset to advance collaborative perception research . Specifically, we employ SUMO, a micro-traffic simulation, to produce numerically-realistic traffic flow, and CARLA, a widely-used open-source simulator for autonomous driving research, to retrieve the sensor streams from multiple vehicles located at the same intersection. Besides, we mount sensors on the traffic lights to empower the roadside to perceive the environment, and the sensor streams of both the vehicles and the roadside infrastructure are synchronized to ensure smooth collaboration. In addition, multi-modality sensor streams of different entities are recorded to enable cross-modality perception. Meanwhile, diverse annotations including bounding boxes, vehicle trajectories, and pixel-wise as well as point-wise semantics labels are provided to facilitate various downstream tasks.
Alternatively, if the team chooses to build a real-world V2X dataset, then we will collect real-world visual data (mainly images).
- Federated learning
- Multimodal learning
The team will be using a broad range of urban analytics approaches that will result in proven abilities in: computer vision, data science, and machine learning.
- A high-dimensional feature-based collaborative perception model trained on the provided V2X-Sim data.
- A multimodal learning framework which supports both RGB image and LiDAR point cloud.
- A report of the robustness investigation under different levels of realistic noise.
All deliverables will be committed to a well documented public GitHub repository.
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