Fall 2024 AI Innovation Challenge
November 2, 2024
Campus Career Compass
1st Place- Darlyn Gomez – Team Lead
- Nuria Siddiqa
- Yangmei Lu
- Mekhribon Yusufbekova
The current state of BMCC’s on-campus job search is unorganized, inefficient, and outdated -- job postings can be found on various flyers, sites, and docs instead of a single place. Students are unaware of the opportunities the school offers, forcing many to seek employment outside, which usually will not be related to the students’ major.
Pathfinders
2nd Place- Moise Smedly – Team Lead
- Oswaldo De Los Santos
- Alyssa Vigueras
- Jannatul Naima
An AI-assisted student dashboard complete with a campus map to help students find their classes and push for more social good by promoting clubs, student engagement, leadership, opportunity and awareness.
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3rd Place- Daniel Furmanov – Team Lead
- Bar Yaakov
- Erick Torres
- Kevin Lu
Our project is an AI advisor. This project aims to allow students to enter their CUNY ID to receive personalized advisement, which can be either a plan for next semester that will then be sent to a real advisor for approval or provide compatible service programs the student can be referred to. Our technology can help by saving the time of not only the student but the advisor as well, allowing them to tackle difficult tasks. Our solution is to make education more accessible by allowing students to get advice for simple tasks at home and save time for all involved. The future direction of this project would be to integrate directly with Degreeworks, allowing the sharing of a similar database as well as a method to easily upload a PDF of active programs happening at BMCC, allowing the AI to refer students to them accurately.
Cyborg Noob
Honorable Mention- Riley Drcelik – Team Lead
- Alan Reyes
- Oussama Ait Daoud
- Karyn Huston
Our project aims to improve the front entrance ID scanners of BMCC to verify identification. Currently, for members of the BMCC community to scan in, you either use your phone or physical id. Physical ID is wasteful, and while in theory using your phone is good we found that many students struggle when trying to get in. The software is buggy and isn't future-proof. There are also security issues in how you can simply give your phone to someone else to sneak people in. With face recognition, we avoid that problem and it's much faster than having to try your phone ID multiple times. Going forward, we'd like to fully integrate our system with the turnstyles themselves and run it on the BMCC servers, expanding the project schoolwide and possibly CUNY-wide.
Insight Engineers
1st Place- Kareem Codrington – Team Lead
- Jafar Abubakar
- Julian Hernandez
- Htet Thet
Predictive Insights: Use AI-driven models to analyze economic data and predict the minimum wage that would enable individuals to meet basic needs, such as housing, food, and healthcare.
Insight Forge
- Shalin Valerio – Team Lead
- Stacey Lee
- Pedro Ortega
- Duke Norsworthy
Public entities (such as CUNY) have limitations in funding and staff to turn around raw data into actionable, comprehensive reports. Provide easy-to-use data analysis tools to extract data from AI. Web-based, AI-tool integration: User-friendly AI-based tool to generate meaningful quantitative and corresponding qualitative insights.
Campus Connect
- Rashdan Khan – Team Lead
- Tausif Miahjee
- Xin Fu
- Vergel Reyes
Gemini said Campus Connect is a platform made by students to help others find college clubs and events easily. Many students have a hard time finding clubs that match what they like. To fix this, the team built a "Clubs Navigator" website where students and clubs make accounts and fill out forms with their majors and interests. The website then uses a system to match students with club events that fit their profile and puts these events on a personal calendar.
PickItUp
1st Place- Kan Rahman – Team Lead
- Marcus Swa
- Josiah St. Bernard
- Enshun Zhang
• What do clubs do with leftover food after meetings? • How can students access food resources to solve their food problems? • Connect clubs’ leftover food with students. • Clubs notify the platform about available food. • Students receive information about available food. • Incorporate more AI elements
Logic
2nd Place- Daniel Speedone – Team Lead
- Faija Onjila
- Giovanna Rodriguez
- Kay Cachiguango
We are trying to solve the bias in AI. Our solution to this is to create an AI toolkit that detects bias information.
Error 404
3rd Place- Joseph Collado – Team Lead
- Kanij Fatema
- Dylan Yagninim
- Webbney Vallon
Our overall well-being app, called Balancebuddy, serves as a kind of application set to tackle the physical, mental, and emotional welfare of the user/student.
The cool Kidz
Honorable Mention- Mouad Oulouali – Team Lead
- Abubakar Diallo
- Rezwan Mahnud
- Tanvir Siam
The onboarding process for BMCC student workers is often complex and inefficient, characterized by excessive paperwork and limited access to information, leading to delays and confusion. By leveraging AI, we can streamline this process by automating paperwork, personalizing training experiences, and centralizing access to resources. This will enhance efficiency and create a supportive environment, helping new hires acclimate smoothly from the start.