01) DigiClips Media Search Engine Bob Shapiro (DigiClips) bobshapiro40@gmail.com Problem we need solved: We are working on developing a Media Search Engine to process media data to create media results reports software for Television, Radio, Newspapers, Magazines, Social Media, Blogs, and Web Streaming Media to not miss data. To help people become media aware and media informed with Media Analytics. Work on Administration to keep track of computers and software hardware on systems with security hardware problems and error messages data missed with Administration Analytics. DigiClips Summary DigiClips Capstone DigiClips Order of Priorities DigiClips Project DigiClips overview
02) Machine Learning Cluster Analysis (K-means) David Hughes (Kinetik and Launch Chapel Hill) david.hughes@kinetiksimulation.com Create an interactive App on AWS that allows the user to discover leads and opportunities that are similar in significant ways. The App will integrated with the interactive prototype at kinetik.solutions. Use cases for the cluster analysis include: 1. Identify lead and opportunity segments: Cluster analysis will group leads and opportunities into distinct segments based on their shared characteristics, such as demographics, behavioral patterns, and engagement levels. These segments will represent customer personas and buying stages, providing valuable insights into how different types of leads and opportunities progress through the sales funnel. 2. Analyze lead conversion rates: Analyze conversion rates and progression velocity to identify which segments are most likely to convert into wins. This information will be used for lead scoring to prioritize sales opportunities. 3. Predict lead qualification: Develop predictive models that identify leads with the highest probability of qualification. High propensity clusters will be prioritized for sales outreach and as an input to optimize marketing campaigns. 4. Identify constraints in the sales process: Analysis of velocity statistics provides insights into the time it takes for leads and opportunities to progress through stages of the sales funnel. Kinetik used cluster analysis to identify constraining factors that slow the sales process. 5. Tailor marketing and sales strategies: Kinetik analyzes lead and opportunity attributes to understand lead segments . Insights are used to tailor marketing and sales strategies to each segment. This can include targeted messaging, personalized outreach, and customized sales approaches. 6. Scale customer acquisition tactics: Identify the most effective marketing channels and strategies for converting leads for new customers. Insights are applied to design campaigns to meet new customer acquisition objectives while optimizing marketing spend. Kinetik overview vid Cluster Analysis
03) Machine learning to control UNC Wave Maker Rich McLaughlin, Roberto Camassa (UNC Fluids Lab, UNC Math) camassa@amath.unc.edu Builds on a former 523 class success in improving the unc wave maker interface software. Specificallly we want to try to understand how existing feedback to control the 30 piston engine wave engine can be improved using machine learning, with the goal of providing better performance. Former Wave Maker project Former proposal (23) News about Wave Maker
04) CyberLand Project Eyup Sabir Erbicer (UNC School or Education) erbicer@ad.unc.edu The aim of this proposal is to develop a mobile application that will increase adolescents’ awareness and prevention skills to cope with cyberbullying perpetration behaviors. As technology becomes more prevalent in our daily lives, so does the opportunity for children and teens to experience bullying through texts, emails, and social media. In the United States alone, 59% of all teens have reported being bullied or harassed online. Therefore, this research proposal aims to develop a desktop/mobile application that will increase adolescents’ awareness and prevention skills to cope with cyberbullying perpetratşon behaviors. A Turkish version of this application is currently in development which is meant to increase adolescents' awareness and prevention skills to cope with cyberbullying perpetration behaviors. I contacted you to make an English version of the application to put in American app stores. The mobile application, Cyberland, aims to teach high school students about cyberbullying behaviors through the gamification of learning modules. Within the app, students are responsible for maintaining the safety of Cyberland City, which is vulnerable to cyberbullying attacks. Students are motivated to complete different modules/tasks associated with cyberbullying identification and prevention in order to protect Cyberland City against these bullying behaviors. As users move through different modules and tasks, they are exposed to videos, articles, or mini-games that will have to be completed to unlock new tasks and increase safety in their city. Additionally, students have an avatar they can customize as they move along their learning modules to encourage them to learn more about cyberbullying behaviors. The application will open to a page with seven icons, each describing different levels the user must go through to complete their learning and protect Cyberland. Users can navigate to Cyberland by clicking on one of the seven icons and then watch their city grow and protect itself against cyberbullying behaviors. This a continuation of a previous COMP 523 project. Project vid
05) VR Neuromonitoring Dr. Andrew Abumoussa (UNC Neurosurgery) andrew@med.unc.edu We do awake craniotomies when brain tumors are in eloquent areas or areas that have life-altering functions. We are developing a VR suite of neurocognitive testing and will need to create a system capable of testing multiple physical / cognitive tasks on demand. There is a systems / UI component to this project, as well as a machine learning component to this project. Either problem is fine to choose, and we will mentor the team on whichever they choose. The UI / systems component will entail developing and queueing up tasks for assessment, storing + comparing results of the patient. The AI component will consist of using open source functional MRI dataset that maps tasks to cortical regions of the brain, training a model that inputs location of a brain and then maps most relevant functions to test - to queue tasks into the UI / Systems piece of the puzzle. Neuro navigation vid Neuro navigation Project clent vid
06) IOS EVDs Dr. Andrew Abumoussa (UNC Neurosurgery) andrew@med.unc.edu This is a continuation of prior semester’s project, implementing a Kalmann filter + watchOS app to fine tune tracking of a handheld surgical stylet. I have built an iOS app capable of performing Neuro navigation in real time. I would like to improve the tracking metrics of the phone by streaming acceleration data from the watch to the phone. The phone can then update position of a tracked object via a Kalman filter. This project will need a team working on Kalman filters - requires team have access to Macs + iPhones or IPad Pros and I’ll provide the team w an Apple Watch Series 8 for development. Neuro navigation vid Neuro navigation Project client vid
07) Golf Facility Noah Goldman (UNC Men's Golf Team) goldmn@unc.edu We just completed construction of a brand new practice facility for our team. It's a large area with multiple places to hit and and utilize but our goal is to have an app that the team can use which will help them utilize the facility in a more productive way. We see this an app for your phone. Our new practice facility is a big area with lots of specific areas and shots to get better but our players get overwhelmed when they use it. Their quality of practice would be much higher if they had access to an app that easily showed games and drills for them to use. An interactive leaderboard would make them much more likely to use it and help supply motivation for getting better. This would not only benefit current players, but would also be a great resource for alumni and recruits who might be in town. We aren't sure any other team in the country has something like this so it would allow us to differentiate. In the end it's all about getting better and an app like this would allow us to do that! Some of our goals/initial ideas include: -- Measuring our target areas to get exact dimensions of greens & hitting areas. This could be used to help team members figure out how far greens/targets are from where they are currently hitting -- Include a map overview of the practice facility so players can visualize where they should practice to achieve their goal for the day. Using the measurements from the facility, you can use your finger to drag a point on the map to where you are currently hitting. Hopefully all the target numbers will update as you drag so you’ll know exactly how far all the targets are from your position -- Include an area in the app for us to upload drills or tasks that can be completed for a score. (We would supply the drills/games to be added here but would also need access to add more drills/games as needed). This library would help encourage guys to not only use the facility but be more productive with their time when they arrive -- Include a leaderboard in the app so team members can follow their own progress and also judge themselves critically against other players on the team. We would really like filters such as men’s team, women’s team, alumni, and the ability to sort data by date range. This leaderboard would foster competition within the team (even if they aren’t there at the same time)
08) FANzPLAY...The Game within a GAME! Taylor Walls (Former UNC student, and CEO FanzPlay) htaylorwalls@gmail.com IF YOU COULD PLAY AGAINST THE FANS YOU LOVE TO HATE, WOULD YOU PLAY? FANzPLAY...The Game within A GAME! FANzPLAY is an early start-up sports/entertainment app that allows fans of the biggest rivalries in sports to play against each other, LIVE on Game Day to earn their own Bragging Rights and win gifts/prizes from our sponsors! FANzPlay App is Taking the Game to the fans, creating an exciting camaraderie from arenas to our living spaces and “Changing the way WE PLAY! This is a former 523 project, and we would like to continue its development. I will locate the previous team's work on the backend of the App which could be applied and work. Once that is reviewed, I would like for the team to create the UI/Front End. I do have sketches and files of the design and some marketing materials to give depth to the visual(s) with the teams input/direction of what is best. The video is only a concept and some of the features would be upgraded or deleted as discussed with the team. Fanz Play
09) eIPS Fidelity Project Penny Liles (UNC Dept of Psychiatry ) penny_liles@med.unc.edu This project is a continuation of Fall 2022, Spring 2023, and Fall 2023 where students turned an Excel spreadsheet (see attachment) we use for evaluating mental health providers into a website for providers to enter data. The students mostly completed the website and added a login feature. The next step is to make accounts for providers and 2 dashboards (one for administrators and one for providers). If there is time, additional tasks could be to format the website (visually), then start adding formulas so we can make calculations for ratings based on the evaluator spreadsheet (attached). Past Description: We want to create an online portal for behavioral health providers to input or upload data when a group of Institute and DHHS staff evaluate their team. We use this data to rate items based on a fidelity scale. Teams currently submit a spreadsheet with a lot of data and we make calculations on the data. The online portal would allow the evaluators to see the data in one spot and make calculations for ratings. We also use a consensus spreadsheet for ratings which we would like to add to the online portal (if feasible during the semester). Long-term we would like to add the report template to the portal. Liles vid XLS fidelity XLS evaluator
10) Swayambhu Stories: Visualizing Religion and Heritage in Nepal Dr. Lauren Leve (UNC Dept. of Religious Studies) leve@email.unc.edu This project involves documenting and preserving Buddhist cultural heritage in Nepal, using annotated VR models. Your coach this semester (Sam Shi) was a member of the original project team. Thus you have good help for this proposed continuation. Client vid Former COMP 523 Project Project description Supporting material
11) Sterilization Monitoring Database upgrades Shannon Reisdorf (UNC Oral Microbio Lab, Adams Dental School) reisdorf@email.unc.edu The Sterilzation Monitoring Service at UNC Adams School of Dentistry provides testing and documentation for dental offices (and others) that their autoclaves or other sterilization devices are working properly and meeting state laws. We receive 300-500 tests per day, and serve approximately 1200 clients from North Carolina and surrounding states. Our database was created by a UNC student many years ago (not sure of class or year at this point). It is need of upgrades to the PYTHON coding. Two students from the Spring 2022 COMP 523 class stayed on as Temp employees to finish up their project, and this past fall transitioned to working on this project. However, their full-time jobs are keeping them busy and they do not have the bandwidth to complete the upgrades. They have suggested that they can pass this project off and assist a new group of students as mentors.
12) Surgical planning with fusion of 3-D optical and cross-sectional MRI/CT imaging Yueh Lee (UNC Radiology) leey@med.unc.edu The goal of this software is to fuse high-resolution 3D optical TOF type data from a Zivid industrial camera with CT or MRI imaging for surgical planning. The idea is that structures which can be extracted from the CT or MRI could then be "projected" onto the patient during the procedure in an AR (augmented reaLITY) fashion, showing the surgeon where the objects are, such as nerves, blood vessels, etc.
13)Before 'I Do' Project Sinem Kocadayio (ECU, School of Education) sinemkocadayi1@gmail.com In today's world, laying healthy foundations for a successful marriage is more crucial than ever in romantic relationships. Here, the "Before I Do" mobile application comes into play, focusing on couples in the pre-marital phase and guiding those who seek to strengthen their relationships through a scientific and objective approach. Module 1: Relationship Assessment This module provides couples with an in-depth inventory to understand themselves and their relationships. Covering four fundamental areas -- personality traits, family dynamics, relationship dynamics, and cultural influences -—couples can conduct an objective evaluation. Module 2: Relationship Report Couples who complete the inventory receive a relationship report presenting a scientific assessment of results. This report helps couples understand areas for improvement, guiding them in laying the groundwork for a healthy marriage. Module 3: Expert Assistance and Self-Help The third module offers couples the opportunity to access needed expert assistance and explore self-help resources. If desired, this module directs them to professionals and supports them with specialized content, creating a secure counseling environment. Based on inventory results, this module provides tailored content to help couples enhance areas where they show low to moderate compatibility. This empowers couples to become conscious builders of a healthier foundation for their relationship. "Before I Do" offers a unique mobile experience, providing couples with the necessary tools for a conscious marriage. Are you ready to strengthen your relationship? Take a step towards a healthier future with "Before I Do."
14) Safety Website (Buckner U) Jereme Lovelace (Buckner Heavy Lift) jereme@bucknerheavylift.com In the fall '23 we had one of your teams build us here at Buckner Heavy Lift a Standalone training website which all of our employees are using to log into the training portal and also take courses. We are looking to continue this work with more reporting and statistics page on each employee. There will be both Backend and Frontend work for this project. The Goal would be to provide a score card for each employee based on the courses that they have completed. This data currently lives in several locations and will need to be pulled in and then add to the individuals page to allow them to see where they stand. There are several future plans that build off of this idea to ensure that all of our team have completed all of their needed safety courses to ensure that we are not putting ourselves in a bad spot as a company with OSHA. Supporting Doc
15) SafeEats Cameron Kaplan (UNC) camkap@unc.edu This is a continuation of an earlier COMP 523 project (S'23). SafeEats is a mobile application with a format similar to that of DoorDash or GrubHub, and will be available for both iOS and Android devices. Around the world, food allergies have become more widespread and more severe, with hospital visits stemming from food allergies increasing threefold between 1993 and 2006, and hospitals seeing the largest amounts of cases in history. SafeEats serves as a way to make dining out more accessible and safe for those with food allergies. After downloading the app, the user enters their food allergies into the application's database, saving this to their client profile for reference. The application then cross-references the user's food allergies with the ingredients on the menus of restaurants and fast food chains, showing the user the menu items which they can eat. Therefore, the issue of safe online ordering and easier accessibility for those with food allergies (and parents /guardians of children with food allergies) are solved through the application. There are not any other particular systems which SafeEats must interact with. Supporting Doc
16) PRP Management System David Stotts (UNC Computer Science) stotts@cs.unc.edu We have a graduat exam in our program called the Preliminary Research Paper (PRP). Every semester there is a process some of the grad students go through to pass this exam. We need a web-based software system to manage the information we need to administer the exam. This project will greatly ease the administration of a department activity. It will be a full stack web app. The system will give relevant information about when the exam is being given and what the various intermediate dates are. It will allow a student to register for the exam, to submit supporting materials (like the research paper), and will allow examination committees to be scheduled. It should collect supporting materials from the exam committees (reports). It will display information about each student (class and grade records, reports, paper, etc) to support faculty discussion of each case. It will display results when available (to individual students, subject to being logged in). Other features we would like if time: the ability to assist in laying out faculty committees for each student; allowing a student registration using SSO with campus validation; perhaps compute some cumulative stats. This app seems to make sense to be created as a Carolina CloudApps project.