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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:

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.

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:

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.

Start writing.

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 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:

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:

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:

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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:

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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.

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

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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.

70 Best Web-Based Capstone Projects 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.

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 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.

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 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.

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.

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).

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.

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,” 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.

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.

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.

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.

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,” 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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” 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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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,” 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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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Capstone Projects: A win-win proposition. Find out how.


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?

Student presents her capstone project

How does a capstone help my organization?

Take Action

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

Learn More and Submit a Project Proposal

Information systems capstone projects frequently fall into these categories:

Moving Up the Innovation Scale Toward IP and Commercialization

Swirling data on a digital background

How is Capstone+ Different Than Capstone?

If Capstone+ might be the right fit for your organization, please reach out to  Olivia Cerniglia so that we can start a conversation!

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.

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] .

Client Testimonials

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

Student wearing a headscarf presents her capstone report findings.

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

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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.

Cancer Alley Capstone Team


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

A student with arms raised presents his capstone findings.


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

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:

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:

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:

1.Title Page

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.

2. Abstract

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.

4. Introduction

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.

7. Methodology

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.

8. Conclusion

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.

9. References

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.

10. Appendices

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:

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:

Tips for Writing a Winning 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.

2. Dicto-Translator

This translator app can be free to download and easy to modify source code to suit one’s needs. A capstone project on this can be written in HTML, CSS, and JavaScipt and then compiled using PhoneGap, an online platform that will convert your HTML, CSS, and JavaScript into an android app.

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:

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Signal Processing Capstone Projects

Upcoming capstone projects.


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.

Project Abstract

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

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:

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.

Creating a High Performance Construction Project Database To Accelerate Building Decarbonization and Resilience in NYC

Project Sponsor

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:

Data analytics, visualization, data mining and processing, outreach/interview skills, database management, and web integration

Data-Life: Exploring Post-Covid Scenarios Through Data Science

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

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:, 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:

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.

Emergency Response after Earthquakes: Assessing Risk and Guiding Coordination in Hospital Systems

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:

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:

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.

FloodNet - Computer Vision for Urban Street Flood Detection

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:

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.

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:

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

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:

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.

Through this project, the candidate(s) will:

Modernizing Organics “Collection” for Managing the City’s Municipal Solid Waste and Achieving Zero Waste Goals

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.

Virtual and Augmented Reality for Community Preparedness to Disasters

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:

*VR/AR environment interactivity will be explored.

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.

City of Bogotá: Data Driven Door-to-Door Care

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:

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.

Community Economic Recovery Tool

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:

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

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.

Project management, data visualization, data engineering, modeling

Informing Policymakers On State Level Supplemental Security Income Support

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:

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

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.

Repairing Dallas: Leveraging data to improve housing quality

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:

Simulating Interactions with Visually Impaired

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.

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.

Trustworthy AI for Human Machine Interface

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.

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. 

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. 

Challenges and Solutions for Walking with Assistive Wearable Robots in Urban Environments

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.

Graduate standing.

Mapping Agricultural Production in NYC (M.A.P. NYC)

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:

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.

Modern Civil and Communications Infrastructures

Addressing Complexity of Urban Networks with Deep Learning

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

Airport Departing Passenger Profile Curve at EWR Terminal B: Understanding passengers’ journey through PANYNJ airports

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:

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:

Audio-Visual Vehicle Localization for Urban Traffic Monitoring

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:

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

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):

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:

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 ]).

Building Accessible City by Self-Supervised Visual Place Recognition

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.

Data-Driven Agent-Based Modeling of Fake News Dynamics Over Online Social Networks

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 

Learning Efficient Multi-Agent Robotic Navigation for Exploration and Mapping

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:

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.

We expect to produce publications and source code related to this project

Low-Power Computer-Vision Counting Research

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

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: ).

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).

RealCity3D: A Large-Scale Georeferenced 3D Shape Dataset of Real-world Cities

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:

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.

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.

Study of Indoor Spaces Occupancy and Its Correlation with the Performance of HVAC System

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:

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)

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

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.

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).

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.

All deliverables will be committed to a well documented public GitHub repository.


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