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Best Capstone Project Ideas For IT Students

A Capstone Project Ideas For IT Students , Capstone Project Title for IT Students is an essential academic assignment for students. This culminating experience is meant for undergraduates in their final year at their school or academic program.

Capstone Projects is the paper you must submit at the end of your course. It aims to show your knowledge and what you have learned throughout the course. You have a chance not only to show your knowledge but also to apply the skills you have gained.

These Capstone Projects for IT Students come in many different shapes and sizes, but they all require a lot of work before they can be shown off. When you’re looking for information technology topics, it can be hard to choose one. In part, this can be because this field of study is growing faster than ever before (and then the majority of others do). For your Capstone Project in information technology, there are a lot of ideas. Which one would be a good one to work on? For your help, we’ve come up with a few ideas.

Capstone Project Ideas For IT Students : Table of contents

Are you looking for the best thesis title for it students, how to choose an engaging capstone project ideas for it students, capstone project ideas for it students.

So if you are one of the students who are looking for the list of new and unique best thesis title proposals for IT/CS student, you are lucky to be on this site because what you are looking for is listed below.

Watch the Video here to See the Top 200 Thesis Title Proposal for IT and CS Students for 2021 – 2022.

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They are very important to students. They teach students how to think critically, how to solve problems, how to communicate, how to research, how to work with others, how to present their findings, and more. It also adds to the student’s resume and shows that he or she has learned.

As you can see, this is why capstone projects are so important. But it can be hard to choose the right idea for your project because it has so much value. The same time, it will be your main goal for a long time. Check out these IT capstone project ideas to help you pick the right one!

As soon as you start your information technology capstone project, you’re likely done with most of your other tasks. The first thing you need to think about is all the information technology classes and topics that were interesting to you when you were in high school or college.

If so, what did you want to learn more about? Is there anything you learned quickly? You should try to think of things that are interesting and check your notes to see if you haven’t forgotten anything. Make a list of all the possible topics.

After you finish your list, you need to figure out which ones have a chance. Take a look at what is being talked about in those topics: the most recent research, something that has to do with them, and so on. Check to see if you can find information that looks like it could help.

Are there any topics in those topics that are controversial or leave room for debate? As well, get rid of everything that you don’t know about or is too hard for you to understand.

If you want to learn about data mining, don’t try to learn everything about it from the beginning to the end at once. Instead, you should focus on a single area or part of data mining that you find interesting. It’s possible to say things like, “What’s new in predictive analytics?”

Capstone Project Title for IT Students :

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2022 Capstone Projects

CUSP received its highest number of proposals ever for the 2022 cycle of the  Capstone Program . Thanks to our sponsors, our graduate students have the opportunity to have an impact on critical urban issues while continuing to develop their data science skills and honing their public policy expertise. Projects have been grouped into four categories: disaster resilience and climate change, fairness and inclusivity, health and wellbeing, and modern civil and communications infrastructure . To view the full list of 2022 projects, see below. Stay tuned throughout the spring and summer semesters to hear more about how our 2022 Capstone projects are progressing! 

Disaster Resilience and Climate Change

Fairness and inclusivity, health and wellbeing, modern civil and communications infrastructure, a new dataset to develop smart assistants for specialized training with augmented reality, project sponsors.

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.

capstone project ideas 2022

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125 Best Capstone Project Ideas for Students

Updated 01 Feb 2023

What is the hardest part of writing a top-notch capstone project? You are going to face many pitfalls and difficulties as you are writing this academic paper but the hardest trial is awaiting you at the very beginning. Pushing yourself to start the work is the hardest part, and one of the most responsible steps here is to choose a good topic that will help to show your full potential. Choosing weak topics can lead to failure. Therefore, we have prepared a list of the best capstone project ideas to help you make the right choice! Need help writing a law essay? Hire our law essay writing service and get help from the best.

How To Choose Topic For Capstone Project?

The choice of a topic is a big and responsible step in writing any academic capstone project, so it is important not to make a fatal mistake. If you also feel stuck, we have a few effective tips to help you get started. A capstone project can be a tricky type of paper so you may need to find out how to buy assignments online .

First of all, keep in mind that the right topic will help you write an outstanding capstone paper and get a deserved high grade. Good topic ideas will give you a possibility to demonstrate the skills and knowledge you’ve gained through the course, so you should approach this step carefully. Then you should remember that a good theme should be valuable, relevant, and interesting (most importantly for you). Your theme should be specific. You can choose  narrative speech topics on our site. Choosing a too broad one is not a good idea because it also has to be manageable. Finally, your theme should present a REAL problem, and your goal will be to develop solutions for it and support them with strong arguments.

Here are the main steps you should take to choose great topic ideas:

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Ideas Of Capstone Project Topics For Students

If you are just about to start your own capstone project, we suggest you take a look at our list of top high school senior capstone project examples to help you find a good topic ideas example.

You can be interested: The 125 Descriptive Speech Topics : The Easiest Way Writing a Descriptive Essay

Best Capstone Engineering Project Ideas


Electrical engineering:

Nursing Capstone Project Ideas

If you need help with any of these themes, you can turn to our service.

Information Technology Capstone Project Ideas

Computer Science Capstone Project Ideas

MBA Capstone Project Ideas

Read also: 70 Best Sociology Research Topics  

Accounting Capstone Project Ideas

Management Capstone Project Ideas

Education Capstone Project Ideas

Marketing Capstone Project Ideas

Hopefully, our list of sample ideas for capstone ideas helped you find inspiration for starting your own capstone project! Keep in mind the tips we gave you for choosing a suitable idea, and you will succeed!

What if you can’t complete your capstone paper ? Sometimes, even if you have chosen a brilliant capstone project idea, this does not mean that you are doomed to succeed. This is a complex task that not everyone can handle. However, we have a solution! helps students keep up with all of their academic assignments and get the highest grades with ease. Why choose Because we have numerous benefits for you:

Submitting an A-worthy capstone project is simple with us, so, if you have faced any issues with writing your capstone papers, do not hesitate and use our writing service at!

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Written by Julius Sim

As an experienced Data Analyst, Julius never stops analyzing things, which makes him a good writer who provides his share of analytical skills. As a responsible person with a strong civil position, he likes writing about social issues, healthy lifestyle, culture, volunteering, and education. Using his experience of being a leader in numerous student clubs, Julius likes sharing helpful tips to assist students and educators alike.

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capstone project ideas 2022

BuyCapstone » Blog » Capstone Project Ideas

Determine the endpoint by applying nonstandard capstone project ideas

Important, challenging, responsible, or inspiring? The most appropriate definition for your capstone project exists! Pupils honestly admit: they just realized after the closing of the project that it was the tactful choice of topic that brought them success. Beyond that, no recipe for success was written by those who refuse to try, make mistakes, and fail missions truly. Academic fortune favors the patient!

If it is available to you to make the correct selection among all the capstone topics , you can choose the topic that inspires you. Imagine that you are great at the intricacies of chemical processes, and you have a chance to create a project on this very topic. This will not only inspire you, but also help improve your final grade because of your high level of knowledge.

Usually, students look for a list of capstone ideas on random web pages and choose from topics that have already been described by their peers. We, on the other hand, offer you an introduction to advanced senior capstone project ideas that are not standard and surprise your mentors. We won’t open Narnia for you, but we will definitely show you a world of topics that you will enjoy working on.

You’re not obliged to have advanced knowledge in all the themes in your academic course. All you need to do is choose a topic that you feel like a professional. We provide the correct direction for your thoughts for your capstone project ideas . Take one of the themes we suggest and start a project. You can rephrase any topic to fit your capabilities and aspirations. You can see a list of themes and more in our article.

The way of selecting the topic for capstone project

Suppose you have a list of capstone paper topics . How can you get such a list? In general, there are three common ways: collaborate with your classmates and create a list of topics that are appropriate for your course. How close your collaboration will be is very important here. Devote a whole evening or even several days to this process. As a result, you will end up with a list of topics that will be close to each of the students. You will be the authors, so the topics will definitely suit you.

The second option is to search for topics online. You can find hundreds of topics that students before you have described. Also, on some web pages, it is possible to find research data and sources that have been used to cover these topics. Yes, in this case the percentage of uniqueness of your project will not be maximum. But if you have imagination and creativity, you can make a successful project out of this product.

The third option open to students is the individual use of the help of peers or professional experts. How does it work? With experts, you will be assisted in selecting a topic based on your interests, strengths, and hobbies. Experts learn information about your strengths, your passion for the subject, and your wishes for the end result. This is how our experts bring the best topics to users.

Select the right one for you to put a powerful start to your project. Make rational conclusions about the availability of resources with quick access to them, so that you’ll come to achievements.

Meet the best capstone project ideas

Here will appear a different set, so you’ll have the proper one of the best topic for capstone project for each course that most likely fit the strengths. Likewise, the best topics for capstone projects will depend on the passion and ability of the human being. Check out the themes below that have already brought success to students. Among them feel free to find absolutely unique ones.

Topics for medical physics projects might seem to be incredibly complicated. Thus, realizing your strengths, you’re able to take one and transform it to fit your preferences.

Some course capstone research ideas

Few of the most interesting capstone research project ideas  are the examples described below. Our users have already made several papers on these topics and have been delighted with them and received an excellent final grade!

Take a few topics for the capstone research paper topics or adapt it to your course. It’s going to be fairly easy to succeed among your peers, as these themes are not too common.

Good capstone project ideas

Good ideas for a capstone project pop up in your head with passion and understanding of the scientific field in which you find yourself now. Pupils may choose among hundreds of topics that might unlock their potential.

Personalize each topic, thereby leading to an exceptional approach to applying the specifics of the topic. We’re confident that among the points listed above, you’ll find the one that will inspire you infinitely.

Easy capstone project ideas

There are challenging prospects for nurses and many easy capstone project ideas . Put your mind together by choosing one:

Despite the responsibility of becoming a nurse, the capstone project might be comparatively feasible when the topic is a reflection of your essence.

Decent topic for capstone project when studying economics course

For an unimaginable number of pupils, a capstone project can actually be a cumbersome task. Quite often, it’s when performing paperwork on an economic topic for capstone project that students turn to experts for help. Choose one of the following for yourself to make the process alive.

Sounds complicated, or are you sure it’s up to you? We would be glad if you find here a capstone project topic that spurs you on to new achievements.

Diversity of a capstone essay topics

The determination of capstone essay topics can be absolutely varied. Obviously realize that the topic depends on the academic field you’re studying, but also consider how close the topic is to you, so that you’re able to gain as much as possible from it.

Whether it’s inspired by the heart or by practical reasoning is up to you. Pick a topic that will potentially bring success to your particular case.

Correctness of selection capstone project topics for students will give your future a success

There is an incredible amount of capstone project topics for students . Thus, how should you pick the one that’s right for you personally and the group of pupils you’re collaborating with? We advise you to identify your priorities and detect which section of science your soul belongs to. Once you’re able to see things outside the box in relation to a certain topic, there will be no need to hesitate, stop on a certain topic!

What is important when processing ideas for capstone project and selecting one is also the presence of resources. Thus, when you choose a topic that needs experimentation, you will need to set up and obtain permission to use the labs. If this is possible, then you’re welcome to begin! Make sure you don’t make it harder for yourself to create a project by choosing a topic you don’t understand.

Experts are always open to provide the knowledge you need. Feel free to read new material in our articles from our capstone project writing service and ask the experts for professional support!

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Creative Nursing capstone Project Ideas

nursing capstone project ideas

Your search for the best capstone project ideas for nursing capstone projects ends here. If you are wondering what a good nursing capstone topic idea to choose is, we will guide you through the process of selecting the best topic given different possibilities. We are a nursing writing service that every other nursing student wants to associate with, and it is because we are passionate about what we do.

When you are ready for your BSN, MSN, or DNP capstone project , you can easily get confused with plenty of ideas that come to mind. You might end up choosing a capstone project idea that is unperceivable and lacks content online. Maybe you will most likely settle for a broad topic, or you are just out of capstone ideas in nursing; you  should definitely take some coffee, find a relaxed position, and drink from this pot of wisdom. With 100+ nursing capstone project ideas, you surely must get one that fits your taste. Do not peter out yet; our professional nurse writers can help you draft the capstone project outline as well.

Our expert nursing capstone paper writers have always handled topics in different specialties and topics. You can rely on us for graduate nursing capstone project ideas (MSN and DNP level).

Unlike the list of capstone project ideas you will encounter online, we have categorized these ideas to refine them further and make it easier for you to pick one depending on your specialty. Whether you are a BSN, MSN, or DNP student, we are optimistic that this comprehensive list on the internet is all you need to begin brainstorming on your capstone project topics .

What is the Nursing Capstone Project?

A nursing capstone project also referred to as a senior capstone or capstone experience refers to an academic paper that consolidates practical work experience, experimentation, facts to help identify real-world setting issues, and applying skills from class to develop actionable solutions. Capstone projects in nursing can either be inclined towards research or problem-solving.

A nursing capstone paper can be anywhere between 20 pages and 100 pages in length. It should have a compelling argument, exhibit the choice of excellent capstone nursing topics.

Capstone projects are evidence-based practice (EBP) projects and reinforce best practices in different nursing fields. A common focus of the capstone projects in nursing is how to implement technology into practice and effective care delivery. They also revolve around finding solutions for better healthcare management of the staff and staffing issues.

When undertaking a capstone project course, a student works with a practicing professional (a capstone graduate) to help them all the way, offer real-world experience, and advise on the design.

Why Capstone Projects are Important for Nursing Students

There are many goals of a nursing capstone project. These reasons are anchor the need for most students to choose a capstone project over a nursing thesis if given a chance.

A good capstone project must reflect research ethics, statistics, program theory, leadership and is always preceded by a capstone research proposal.

Given the goals, graduate program capstone projects in nursing might take an entire semester. On the other hand, BSN capstone projects might take ten weeks to two semesters.

Do you need help with writing your nursing capstone project?

Difference between a Nursing Capstone Project and a Nursing Thesis

As you get close to the final term and the residency program gets closer, you will most likely either handle a thesis or a capstone project. A typical confusing question nursing students ask is, what's the difference between a capstone and a thesis in nursing? We have the answers right here for you.

Most nursing programs, both at the undergraduate and graduate levels, mandate that the students complete either a nursing thesis or a capstone project.  While a thesis project is meant to focus on a general issue and provide insights to the reader, a capstone thinly focuses on a specific issue, concern, or problem in the realm of nursing.

Also, unlike a thesis that presents a theory or solution, a capstone paper describes the issue using a fact-based approach.

A capstone project is most likely to be assigned from undergraduate to graduate level, whereas a nursing thesis is only assigned to graduate nursing students. Nursing capstone projects are also more focused compared to the theses. One of the reasons is because a capstone demonstrates the understanding of the topic through a detailed analytical approach. On the other hand, a thesis paper for nursing entails the generation of hypothesis or research questions, conducting research, analysis of data, explanation of the findings, and concluding as well as recommending the evidence-based practice.

Even with the differences, both nursing thesis and capstone projects form grounds for evidence-based practice in nursing.

Useful Tips when Choosing Great Nursing Capstone Ideas

Most nursing students complain that they do not have topics for their nursing capstone projects. One thing most students fail to realize is that they can approach their faculty advisor to help them select a capstone project idea that is relevant to their career goals. Here are some useful tips to help you arrive at your capstone idea of choice for your nursing program:

We can all agree that even though making a successful nursing capstone project is laborious, picking the best capstone project idea from the onset makes the entire process seamless and successful. If you have trouble and need help, our qualified capstone writers can help you choose the best. We are a leading nursing capstone project writing service on the internet.

The Potential Sources to Get Creative Nursing Capstone Project Ideas

Necessity is always the mother of invention. When the time comes for you to come up with ideas for your capstone project in nursing, you can always wonder where to look. However, here are some highlights of the best places to look for nursing capstone project ideas.

1. Nursing News Articles

Google Search makes it easy to search for recent news in any realm. Think about the issue of mental health among the homeless, elderly abuse in-home care, or mental health among veterans in the news. It can give you insights on what areas to focus on, depending on the community you come from. When you read through the news, you will most likely click on an idea that could be the best for your nursing capstone.

2. Peer-Reviewed Nursing Journals

As a focused nursing student, access to peer-reviewed article databases is a must. You are most likely an ardent reader of medical or nursing journals online. By way of research, you could also have accidentally stumbled or objectively found some useful insights from such journals.

Have you spent time reading recent publications in journals? What are some of the topics that strike you the most? Are there issues open to debate that relates to nursing or the clinical environment? Are there gaps in research that need to be understood? When objectively reading recent articles published in nursing and medical-related journals is a viable way to come up with worthy capstone project ideas for your nursing capstone projects.

3. Clinical Rounds

Clinical allows you to work with a preceptor and sometimes shadow your peers when there is a shortage. In this respect, you may have learned a great deal from the clinical. You can convert the knowledge on your experiences during your clinical rounds and when offering care to the patient. How did you feel? What were some of the challenges? What concepts worked, and which ones flopped? Did the clinical facility apply evidence-based practice or evidence-based nursing? Were the staff focused on patient-centered care? You can generate many ideas at the end of the day by just reflecting on your clinical.

4. Nursing Capstone Papers from Past Classes

You will most likely be paired with a graduate capstone student. You can also ask your instructor and friends who have been through the nursing capstone paper writing process.

Skim through the past nursing capstone papers and see if some ideas come to mind. You will notice that as you interact with the content, your mind will wander into insightful topic ideas for your capstone project.

5. Class Notes and Material

The course objectives are given before you commence a course that can also be a starting point to brainstorm for nursing capstone ideas. As you read the objectives, you will understand what the end project capstone paper must look like. Also, class notes and reading material can give you useful insights. Still, you can comb through your past nursing essays, research papers, concept papers, and term papers or case studies to get good nursing capstone ideas.

Related Reading : Learn how to write a nursing capstone paper from our comprehensive nursing capstone project guide for students at any level: BSN, MSN, or DNP.

Nursing Capstone Project Ideas for Mental Health

Medical Surgery Capstone Project Ideas

Related: Psychology research paper topics .

Nursing Leadership Capstone Project Ideas

Here is a list of some nursing leadership ideas that can be a great starting point when choosing a creative topic for your nursing leadership capstone project.

Leadership is a great area that many researchers venture into. However, this does not mean that all the knowledge is exhausted. 

When selecting the nursing leadership capstone topics, you need to be very keen not to choose a broad topic that will make you dilute the content of your nursing capstone project.

Patient Falls Nursing Capstone Project Ideas

Patient falls are an active area that is being continuously addressed by nurses.

As a DNP, MSN, or BSN student, you can easily choose a capstone project topic on patient falls and craft a well-written capstone project that can earn you the best grades.

When looking at the holistic issue of patient falls, there are measurement scales, contributing factors such as dementia, mental and physical health issues, age, or Alzheimer's, which you must take into account.

Different fall prevention and fall management strategies can also be an active area for research when undertaking your nursing capstone project. Here are some ideas:

Women's Health Capstone Project Ideas

The area of women's health is also an active area of research where you can choose a creative nursing capstone idea.

For instance, it integrates breastfeeding nursing capstone ideas, sexual health, the general wellbeing of women, and healthcare access. Here are some suggestions or ideas:

Nursing Informatics Capstone Project Ideas

General Nursing Capstone Project Ideas

Managed Nursing Care Topic Ideas for Dissertations, Term Papers, and Nursing Essays

Emergency Nursing Capstone Project Ideas

If you are interested in emergency nursing, here are some critical topics and research project ideas you can use in your emergency nursing capstone project.

Capstone Project Topics on Nursing Burnout

Nurses are the most important cog in the wheel of healthcare. If you are passionate about administrative or human resources management in nursing, you can select these nurse burnout topic ideas for your capstone. Whether you are writing an MSN, BSN, or DNP capstone project, these topics are suitable. Remember to select an idea that interests you, one which can lead to your specialization.

capstone project ideas 2022

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Guide Yourself with the Top Capstone Project Ideas and Secure A Grades

Sep 14, 2022 | Student Guide | 0 comments

Guide Yourself with the Top Capstone Project Ideas and Secure A Grades

Table of Contents

Best Guide to Choose Capstone Project Ideas for your Final year

Choosing the right capstone project ideas are one of the most important steps in completing your degree. Therefore, if you are looking for some valid direction on selecting a capstone project topic, then you are on the right track. Yes, this write-up will give you everything you need to know about coming up with the idea. Meanwhile, discover some useful facts about emotive language .

Capstone project

A capstone project is a required final project for students in their last semester. Capstone projects provide a way for students to show what they have learned from their education and why they attended the school. Unlike college, these papers come in different formats, maybe even a personal letter format , and requirements depend on the school. Also, it covers various subjects in management, marketing, education, accounting, nursing, business, medical, psychology, security, and many other topics. So, studying innovative capstone project ideas is beneficial to graduate students as it provides them with a chance to practice the following skills:

Capstone project

In addition, some schools offer pre-selected capstone project ideas high school and a laundry list of requirements for you to follow. However, sometimes you may select a good capstone project idea related to your educational field. Furthermore, you can also learn more about Controversial topics for teenagers in this article.

What do you do for a capstone project?

The capstone project demands a paper that is argumentative, expository or has a detailed analysis report. Students are responsible for choosing their ideas for capstone project and developing them to fulfil specific requirements set by the school. Moreover, projects must be submitted before graduation to get credit for them on the transcript. There are many ways to develop ideas for capstone projects. Thus, it’s best if college students have some expertise related to the topic and your professor has allowed such capstone projects ideas to get started on it. Meanwhile, get the top senior project ideas here.

For example— If you are willing to cover a topic on the nursing shortage, you need evidence-based practices to prove your point. Yes, you will need to perform in-depth research to find enough information to write on such topic ideas. So, let’s look at the steps to write on the education capstone project ideas.

Steps to writing a good capstone project

When you start the paper, it is essential that you create a good outline and then proceed further. Also, you can click here to learn how to write a claim . Meanwhile, follow these steps to write a good capstone project for academic papers:

capstone project ideas 2022

Step 1 – Think about the work you completed for other classes and what improved as you progressed.

Step 2 – It is necessary to plan your writing process, including deciding how many pages you want to write each week and when you’ll take a break.

Step 3 – Your topic should interest you. So, always cover a real topic on Information technology or practical issue, and allow you to demonstrate your skills.

Step 4 – Moreover, gathering information from various resources is the first step in any research paper.

Step 5 – Develop a thesis statement for your topics.

Step 6 – Create an outline. And, before drafting a new project, imagine your essay and write it down in a logical order.

Step 7 – While writing, proofread the outline to ensure everything is included and in the proper sequence.

Step 8 – Create an introduction and conclusion. Also, the conclusion should synthesize what has been discussed in the body of the paper and provide a final statement on how this relates to your original claim.

Step 9 – Offer a title to your capstone project ideas.

Step 10 – Editing and proofreading your work can create a good academic paper.

Also, read 200 Research Paper Topics to craft an engaging essay.

Tips for choosing the most promising capstone project ideas

Choosing a topic for a capstone project can be difficult if you don’t have any guidelines to follow. So, you may feel lost. Therefore, to sum up a good computer science capstone project ideas, mental health capstone project ideas, marketing capstone project ideas, data mining, or any other capstone ideas, this checklist will help you explore your thoughts and decide on what projects to pursue. Likewise, you can explore our helpful guide on Leadership Statement by clicking here.

capstone project ideas 2022

What are some common ideas for the best capstone projects for students?

Some common topics for capstone projects include cultural studies, criminology study, bilingual education, management, nursing, marketing, accounting, technology, software, urban studies research papers or psychology capstone project ideas. Thus, you can gladly choose any topic that interests you and is related to your field of study. Your search for who will take my online class ends here! To help you select the best topic we have created a informational video which you can refer here 

Computer Science Capstone Project Topics

Computer Science Capstone Project Topics

Nursing Capstone Project Ideas

capstone project ideas 2022

Marketing capstone project ideas

Marketing capstone project ideas

Management capstone project Topics

capstone project ideas 2022

Engineering capstone project ideas

capstone project ideas 2022

Psychology project ideas

capstone project ideas 2022

Senior capstone project ideas

Senior capstone project ideas

Of course, writing a senior capstone paper is difficult. Thus, only a professional from a reputed assignment help can design it carefully. Meanwhile, some of the common ideas for motivating students are:

What are some benefits of a capstone project?

No doubt, a capstone project offers many different personal and professional advantages for students, such as:

How can a capstone project help me in the future?

Doing a capstone project for your high school can benefit you if done well. Moreover, a capstone project shows college admissions officers that you’ve taken the initiative and isn’t afraid of taking the lead. Thus, it’s an opportunity to demonstrate your leadership skills demonstrated through collaboration. In addition, one of the ways that colleges can distinguish graduate students from undergraduate students is in their expertise.

If you are on the verge of your graduation process soon and want to make an impression on your potential employer, then starting your capstone project will highlight all the work you’ve done for your major or future profession. Thus, considering that the project could have a lasting impact on your life, you may decide to include an essay about it in any admissions or scholarship applications. Also, applying for a project like this would showcase your strong ambition and give the admissions officers clear impression of your future contributions to campus life and major subjects. If you are one of them dealing with capstone project ideas, you may also get help with the psychology homework help.

How Can a Capstone Project Help You in the Admissions Process?

Conducting capstone projects for high school students may help your college application. Also, if you have done these well, admissions officers might be impressed with your initiative and how such work shows that you’re not afraid of taking charge. So, if you follow up on a project with the help of your team, this is a perfect opportunity to demonstrate your leadership skills.

In addition, colleges expect students to be well-versed in their specialization of IT or cybersecurity capstone project ideas. So, starting your capstone project can be an excellent way to demonstrate the scope of your passion for or dedication to your chosen field and educational practices . Moreover, this type of project can be imposing to schools you apply to because it shows clear ambition and your interest in the campus community.

Which are some exclusive ideas for a capstone project for a sales course?

Sales capstone project ideas can include any of the following:

What are current ideas for a capstone project for a business course?

Business capstone project help ideas to improve marketing strategies may include:

Some ideas for the capstone projects within health.

The topics you may want to look into include—

Follow current ideas for a capstone project as a general music teacher.

Some of the best capstone project ideas for a student pursuing as a music teacher are:

Also, check out the various biology topics in our next blog.

Final words

Choosing a compelling topic for the capstone project is vital. So, if you’ve researched your topic and know what to include in your paper, you can easily present it to anyone reviewing it. Thus, we have gathered many capstone project ideas to help you find the best topic. So, take these ideas as your starting point and create a winning paper. But, if you find it challenging to choose the best topic, entrust this task to professionals. Moreover, a professional writer in academic writing is ready to help you meet all your deadlines.

Frequently Asked Questions

What's the ideal length for a capstone project.

A capstone project often relates to the intended speciality and demands good cooperation, public speaking, and analytical and critical thinking abilities. So, the project’s length will depend on the professor’s needs. However, it will typically be at least forty pages long.

Why is the Capstone project important?

Due to its practical applications and capacity to support students’ professional knowledge and abilities, the capstone project—typically the final assignment—plays a significant role in assisting students in becoming employable.

How to write the intro of a capstone project?

A capstone project is different from a typical essay or research paper. Thus, restating your thesis at the end of the introduction is insufficient. Also, you should pay close attention to outlining the justification for your endeavour while writing the introduction to your capstone project.

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capstone project ideas 2022

The Best 150 Capstone Project Topic Ideas

10 May 2022

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❔What is a Capstone Project?

Capstone Project Ideas:

✅Capstone Writing: 10 Steps

The long path of research works ahead, and you can’t find any capstone project ideas that would be interesting and innovative? The task can seem even more challenging for you to feel all the responsibility of this first step. The top 150 capstone ideas presented below aim to make a choice not so effort-consuming.

With the list of the capstone project topics we've picked for you, you'll be covered in major subjects. Continue reading, and you'll get ideas for capstone projects in information technology, nursing, psychology, marketing, management, and more.

What is a Capstone Project?

Educational institutions use the capstone project to evaluate your understanding of the course on various parameters. For the students, the work on the project gives an excellent opportunity to demonstrate their presentation, problem-solving and soft skills. Capstone projects are normally used in the curriculum of colleges and schools. Also called a senior exhibition or a culminating project, these assignments are given to finish the academic course.

This assignment has several different objectives, among which are the following:

It's not that easy to pick the right capstone paper topic. The problem intensifies as each student or separate teams have to work on a single assignment which has to be unique. The best capstone project ideas may possibly run out. However, whatever topic you opt for, you’d better start your preparation and research on the subject as early as possible.

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Amazing Capstone Project Ideas for Nursing Course

Studying nursing is challenging, as it requires a prominent theoretical foundation and is fully practical at the same time. You should have to do thorough research and provide evidence for your ideas, but what to start with? The preparation for your capstone project in nursing won’t be so overwhelming if you make use of these capstone title ideas:

Attractive Computer Science Capstone Project Ideas

Computer science is so rapidly developing that you might easily get lost in the new trends in the sphere. Gaming and internet security, machine learning and computer forensics, artificial intelligence, and database development – you first have to settle down on something. Check the topics for the capstone project examples below to pick one. Decide how deeply you will research the topic and define how wide or narrow the sphere of your investigation will be.

Build your thesis statement

This is AI-powered online tool that lets you create a thesis statement about any topic you need.

Several High School Education Capstone Project Ideas for Inspiration

High school education is a transit point in professional education and the most valuable period for personal soft skills development. No wonder that the list of capstone project ideas in high school education involves rather various topics. They may range from local startup analysis and engineer’s career path to bullying problems. It’s up to you to use the chosen statement as the ready capstone project title or just an idea for future development.

Capstone Project Topics in Information Technology – Search for Your Best

Information technology is a separate area developed on the basis of computer science, and it might be challenging to capture the differences between them. If you hesitate about what to start with – use the following topics for capstone project as the starting point for your capstone research topics.

Psychology Capstone Project Ideas

Society shows increasing attention to mental health. The range of issues that influence human psychology is vast, and the choice may be difficult. You’ll find simple capstone project ideas to settle on in the following list.

Stuck with finding the right title?

Get plenty of fresh and catchy topic ideas and pick the perfect one with PapersOwl Title Generator.

Capstone Project Ideas for Management Course

Studying management means dealing with the most varied spheres of life, problem-solving in different business areas, and evaluating risks. The challenge starts when you select the appropriate topic for your capstone project. Let the following list help you come up with your ideas.

Capstone Project Ideas for Your Marketing Course

Marketing aims to make the business attractive to the customer and client-oriented. The variety of easy capstone project ideas below gives you the start for your research work.

Best Capstone Engineering Project Ideas

It’s difficult to find a more varied discipline than engineering. If you study it – you already know your specialization and occupational interest, but the list of ideas below can be helpful.

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Capstone Project Ideas for MBA

Here you might read some senior capstone project ideas to help you with your MBA assignment.

Capstone Project Ideas for an Accounting Course

Try these ideas for your Capstone Project in Accounting – and get the best result possible.

Capstone Writing: 10 Essential Steps

Be it a senior capstone project of a high school pupil or the one for college, you follow these ten steps. This will ensure you’ll create a powerful capstone paper in the outcome and get the best grade:

Preparation of a powerful capstone project involves both selection of an exciting topic and its in-depth examination. If you are interested in the topic, you'll be able to demonstrate to your professor a deep insight into the subject. The lists of ideas above will inspire you and prepare you for the successful completion of your project. Don’t hesitate to try them now!

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Online Programming Lessons, Tutorials and Capstone Project guide

Table of Contents

Proposal Outline

List of topics for capstone project proposal.


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In this article, our team has compiled a list of Capstone Project Proposal Topics and Ideas. The capstone projects listed below will assist future researchers in deciding which capstone project idea to pursue. Future researchers may find the information in this page useful in coming up with unique capstone project ideas.

The most crucial and initial step in your capstone project journey as a student or researcher is to choose a topic. You may fail if you choose a topic without giving it any thought. To begin, make sure you’re enthusiastic about the subject and confident that the research phase will not exhaust you. Second, make sure it’s in line with your curriculum and allows you to demonstrate your teacher what you’ve learned in class while also being practical. The right proposal outline is presented below, as well as a list of capstone themes or concepts that future researchers can employ.

In this paper, the researcher will narrow down the array of project options and select one that is more important. The researchers will then discuss the gaps and challenges they discovered, as well as why they chose this particular topic.

The target project context will be discussed in this section. The researchers will present the challenges, the goal, the beneficiaries and the time frame of the project. The researchers will clarify the context of the project and explain it in details.

This section will state how the project will contribute to the chosen clients or beneficiaries. This will help the readers identify the impact of the project.

The researchers will state in this section who are the target users of the project or beneficiaries. The researchers will state how each individuals or groups can benefit from the success of the project.

“Mobile Application and Wearable Devices for Child Protection,” the capstone project, is designed to keep children safe. The primary goal of the project is to create a wearable device that children may use in public settings. This wearable can be connected to a mobile device via bluetooth or wifi using an application. With the use of the app, parents can now simply track their children’s whereabouts and monitor their everyday activities.

To enter a foreign country, one must be a visa holder. This will serve as proof of national origin as well as protection for the natives of foreign countries from terrorists. When traveling abroad, this is one of the prerequisites, and most people will go to a Visa National Center to complete the requirements and apply for a visa. This is a lengthy process that is inconvenient for both parties. The manual procedure will slow down the application process and the visa center’s response time. The capstone project, “E-Visa Processing and Follow Up System,” is an automated platform created exclusively for visa applications and related transactions. The manual system will be replaced with an electronic system as part of this project which is more fast, convenient and efficient.

One advantage that technology offers to people is job-seeking automation. Traditionally, job seekers manually and personally search for job offers and vacancies which is time-consuming and requires valuable effort. Job seekers visit agencies or companies to search if they are hiring. Employers also tend to broadcast job hiring through agencies or posters which is not efficient and will not reach job seekers promptly. Overall, the manual method is inefficient and needs to be developed.

The capstone project, “Online Platform for Real-Estate Business,” aims to digitally alter the real-estate industry. The internet platform can reach a larger number of buyers and make transactions between the real estate agent and the client easier. The concept will eliminate the necessity for buyers to visit properties in person. Instead, they can tour and experience the properties virtually. The web platform may provide a competitive advantage over other real estate firms. The platform has the potential to attract a more serious and wealthy consumer.

Books or printed materials are the traditional means of providing teaching resources to students in school. These materials also include the biology course materials. This technique necessitates students visiting academic facilities to obtain learning, which takes time and effort and is not always available. Biology, as a study of life and living things, necessitates a lot of hands-on exercises and experiments for students. The researchers will build and develop an Interactive Lesson Material for Biology utilizing Virtual Reality to help them progress and learn despite obstacles. This project is an interactive platform that allows biology students to learn in a virtual environment. This will give them the impression that they are learning in the real world.

“RFID Based Automatic Traffic Violation Ticketing,” the capstone project’s title, is a program that will automate the process of issuing tickets to road users who have broken traffic rules. An RFID-based ticket will replace the paper-based ticket. This project will speed up ticket issuance while reducing traffic congestion. Because the cards are reusable, they are far more handy than the paper-based ticketing system. RFID cards are given out to the general people.

The capstone project entitled “FiestaMobile: Mobile Based Fiesta Celebration Information in the Philippines” is an application that compiles the major festivals conducted in the country. The aim of this capstone project is to design and develop a mobile application that can be installed on both android and iOS mobile operating system. To be specific, the project is intended to develop an application that displays the information of festivals, when it will be held, major activities of the festival and many more. The application includes the general information of the festival, schedule of events or programme. In addition, the app has a notification module that notifies the user for the upcoming festival. The mobile application is connected to a web server where the updated information can be downloaded to the mobile app for offline viewing.

The capstone project, entitled “DroneSeed App” is a drone based seeding application controlled by mobile devices. The project will enable planting trees faster than human hands by using drones.

Nowadays, we are dealing with the reality that we are losing forest faster than nature is regenerating it due to wildfires. The Current methods which rely on manual labor to keep up with and maintain our forests are insufficient to keep up with and maintain our forests. There is a need of an effective system and strategy to quickly replant trees in forest for the benefit of the people and the community as a whole.

Farmers are used to travelling around the farm and manually inspecting plants for diseases that could endanger others. The researchers saw an opportunity to give farmers with an IT-based solution to aid in the detection of plant diseases. The researchers proposed that the capstone project, “Robotic Plant Disease Detector Using Arduino with Android Application,” be designed and deployed. Farmers can use this project to screen for and identify plant diseases. It’s an Arduino-based robotic gadget that will be controlled by an Android app. The robotic plant disease detector will go about the farm, detecting plant illness and recording it automatically for tracking.

Currently, the equipment monitoring and inventory are performed manually by the staff. A sheet of paper must be filled out for each piece of equipment in order to maintain track of the information. This manual system was discovered to have numerous flaws, including the loss of equipment records, equipment loss, in-out transaction records, and equipment misplacement. We computerized the procedure to make it more efficient.

It deals with different aspects of regular inspection of some storage things inside the stock room, and it provides a timeless process between the management and the borrower in the process of borrowing and returning the equipment’s from the management.

We can readily obtain information nowadays thanks to the Internet and other social media sites. However, the question is whether the data acquired is genuine and correct. Consumers are creating and sharing more information than ever before, some of it is deceptive and has no bearing on reality because of the widespread use of social media platforms. It is difficult to automatically classify a text article as misleading or disinformation. Even a domain expert must consider a variety of factors before deciding whether or not an article is true. We propose in this paper that we apply a machine learning strategy to classify Naive Fake News automatically.

This Garbage Monitoring System will allow user to indicate the amount of trash inside the garbage bin through mobile application. An Ultrasonic Sensor will measure the depth of the garbage bin, detect the level of the garbage then compile that information to the Arduino, the Arduino will then compute this given information and send it as data to our mobile application. The Arduino will send this data via Bluetooth then the mobile application will receive this data and will proceed to show the status of the garbage bin to the user, giving a graphical view with a percentage value while also highlighting the garbage bin in color in order to show specific level.

The project entitled Employee and Faculty Evaluation with Ranking and Succession Planning is a LAN based application designed and developed in Visual Basic and MS Access as the database.

Employee and faculty evaluation is one of the key functions of HR department or the human resource department; they are the one who conducts the evaluation for the faculty members and employees of the academic institution.The application was designed to run in a local setting or environment which means that the application runs on a peer to peer setup. The executable file and the database must reside on the same directory or folder then the directory will be shared in the network in order for the other computers to use the application.

The mobile based reviewer app for agriculture is another method for learners to study and review their lessons using their mobile devices. The said project is available in both Android and iOS devices, it was written in Framework 7 and Apache Cordova, it is a hybrid type of mobile development where in the HTML, CSS and JS files can be converted into a mobile application.

The application contains lecture materials in a form of text, pdf and video format about agriculture. Assessment for every lessons in a form of multiple choices is also one of the function of the mobile app. Scores and progress result are stored in the local storage of the device but the scores are also submitted to the instructor for monitoring purposes. The application can be used offline which means that the users can still open their lessons and take quizzes even if their device has no internet connection.

The crime reporting system is a web and mobile based project which is a database driven information system that will allow the residents to report an incident with the use of internet, smartphone and a mobile application.

It is a web and mobile based application which will facilitate the queries and reports of crimes in the locality. The said project is available and accessible to the general public wherein they are allowed to report an incident or crime using their mobile devices that are connected to the internet. On the other end, the ICT department of the police station will verify first the validity of report before a response will be made. Crime records will be archived for future reporting purposes.

Traditionally, most driving schools require their students to complete real-world driving training. As technology progresses, driving schools may now use technology to simplify driving instruction, and the most practical method to do so is by adapting driving simulation. The capstone project, “Design and Implementation of Virtual Reality Systems,” is a novel technology that driving schools may employ to provide driving simulation to their pupils in a quick and efficient manner. The students will be placed  in an artificial environment believed to be a valid substitute for one or more aspects of the actual driving experience.

  The capstone project, entitled “Voice Assistant Application for People with Vision Impairment” is an application designed to act as a voice assistant for individuals with vision impairment. The application will allow the user to access the most important features of their phones like messaging, dialer, call log, and other important features of the phone. The system will speak out the action performed by the user to let the user know the actions performed. The said project will assist visually impaired individuals to perform day-to-day tasks through smart means.

  The proposed study entitled Vehicle Number Plate Recognition using Android System aimed to provide a system that would help them detect and recognize a vehicle through its plate number. This system will help in solving problems involving vehicles. This system is used in detecting stolen and searched vehicles. The plates that are detected by the system will be compared to the recorded vehicles. Also, the system will be very helpful in managing parking space. They can use the system as the basis of the entrance and exits of different vehicles in parking lots. Thus, this system is very helpful in many aspects.

This study was conducted to develop an Information system of herbal plants and medicinal usage. The system is a big help to respond and to answer the needs of the end users in terms of the scarcity of references and lack of resources for the researchers.

The developed system is capable for storing data and is responsible for quick accessibility and easy retrieval of data and information of Herbal plants and medicinal usage. Prior to the development, the system was designed with search menu options that allows user to view and search information using the herbal name. As it was consulted from the end-user, the herbal plants contains information which includes its corresponding name, local name, scientific name, herbal information.

22 . Online Transaction Fraud Detection using Backlogging on E-Commerce Website

  The capstone project, “Online Transaction Fraud Detection using Backlogging on E-Commerce Website” is designed to restrict and block an attacker’s transaction using a real user’s credit card information. The system has been designed for transactions that exceed the customer’s existing transaction limit. We attempted to detect fraudulent transactions before they were completed.

The capstone project entitled “Evaluation of Academic Performance of Students” allows academic institutions to monitor and gather data about the academic performance of students where decisions are derived to further improve the students learning outcomes.

Tracking and monitoring student’s performance serves a vital role in providing information that is used to assist students, teachers, administrators, and policymakers in making decisions that will further improve the academic performance of students. In the traditional way, the teachers and school administrators collect academic records of students and extract information from them to assess the students’ performance. The manual tracking and monitoring takes time and may encounter human errors resulting in obtaining incorrect information that will affect the decisions made. The changing factors in education have led to the quest on how to effectively and efficiently monitor student performance in educational institutions.

It is extremely difficult for silent people to communicate their message to the general public. Communication becomes extremely difficult because most people are not skilled in hand sign language. The capstone project, “Speaking System for Mute Persons Using Hand Gestures,” is intended to assist mute people in communicating with regular people through hand motions and gestures. A hand motion reading system with motion and flex sensors, as well as a speaker unit, are used in the system. The technology that runs this system is battery operated.

Garbage has always been a concern in every town. The researchers proposed the creation of a Smart Dustbin with IOT Notifications to help solve the problem and reduce rubbish volume. This project will employ sensors to automate the dustbin. It will automatically open if it detects a clap or stomp of the feet. This is really beneficial in terms of reducing rubbish volume.

Farmers typically work on big plots of land to cultivate a variety of crops. It is not always possible for one person to keep constant monitoring of all of the fields. The capstone project, named “IOT Irrigation Monitoring and Controller System,” monitors and controls water supplies from afar. This system makes use of an IOT notion (Internet of Things).

Technology is credited as being the driver for change in a variety of businesses and institutions. The world has changed drastically thanks to information technology. It’s difficult to think of an industry or organization that hasn’t profited from technological developments. The most typical role of IT in these industries has been the automation of various procedures and transactions in order to increase efficiency and improve people’s overall experience and happiness. The capstone project ideas listed above will come in handy in a variety of industries. It will help in increasing operational efficiency as well as the services rendered to the people or the users of the project.

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Informati on Technology Capstone Project I deas

An Information Technology Capstone Project is a culminating project that information technology students are required to write at the end of their course. Essentially, the project gives students a chance to showcase what they have learned throughout their studies and apply the knowledge and skills in writing the capstone project.

However, you will require taking a unique project to do this, something most students find difficult to find unique Information Technology Capstone Project Ideas.

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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:

Looking for the Best Information Technology Capstone Project Ideas?

If you are experiencing difficulties in coming up with the most workable topic idea for your IT capstone project, you can always seek help from us. Our IT expert writers will guide you through selecting the best topic idea that is beneficial both to your career and the IT field as a whole.

Besides, we can also provide you with capstone writing services should you be in a difficult position to write by yourself. Contact us now and see what we have in store for you!

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Capstone Project Ideas

Table of Contents

80+ Capstone Project Ideas You’d Love Working On

A college education is quite tasking due to numerous academic papers that students have to complete as part of the curriculum. Learners get overwhelmed with hours of research and writing different essays with a set deadline. The capstone project is one assignment that college students must complete as partial fulfillment of their course program.

Capstone projects are demanding and require intense planning since it takes two semesters to complete. Students must carry out independent research about a particular subject matter to get an in-depth understanding. You have to grasp the concept and know the project’s expectations to craft exceptional work. Moreover, it is essential to pick an appropriate project depending on your course program.

This article delves into helping students choose suitable capstone projects with a list of engaging ideas to jumpstart the composition.

How to Select the Best Capstone Project?

Capstone projects are academic papers that tutors use to gauge students’ analytical and research skills pursuing various courses in college. While some tutors provide a list of topic ideas, others require students to pick their topics.

When it comes to selecting a capstone project, you have to follow a particular framework. Usually, such projects revolve around different courses, such as nursing, psychology, engineering, biology, and politics. Thus, you have to pick an appropriate topic that aligns with your primary course since each has its specific requirements.

Therefore, it is essential to understand the process of picking a suitable subject for your project. Here are a few steps you need to follow.

The first step is to reflect and brainstorm your favorite classes and attractive course units. Write down all the ideas that come to your mind that you think might make a good capstone project.

Extensive Research

With a list of topics at hand, you can now conduct comprehensive research to discover more about the topic, whether it is worth pursuing your project or not because of the research materials. It is advisable to choose a topic that is neither too broad nor narrow. Pick a specific aspect that has adequate academic sources.

Consult Your Supervisor

Ensure you consult your project supervisor before you start working. Getting approval is essential since you will know that you are on the right track.

Start Working

You can now begin working on your project while following the paper instructions. If you are in doubt, seek help from your professional tutor to guide you through the process.

Follow the steps discussed above before composing your projects. Make sure you pick an interactive topic that will showcase your analytical skills in summarizing your education.

List of Capstone Project Ideas: 20 Ideas for Any Case

15 Nursing Capstone Project Ideas

15 Capstone Project Ideas High School

10 Psychology Capstone Project Ideas

10 Engineering Capstone Project Ideas

15 MBA Capstone Project Ideas

15 Education Capstone Project Ideas

Struggle with Your Project? Let Us Help!

Tackling a capstone project is quite challenging for most learners in college; with proper planning and extensive research, it can be a simple task. Ensure you start early to identify a suitable topic for your project, narrow it down to a specific topic and start working within the project’s parameters.

If you are still grappling with your capstone project, talk to us, and we will link you to a competent professional essay writer . Expect meticulous papers that will earn you exceptional grades.

George Lynch


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