Phase Three Winners
Three teams have been awarded funding in the final phase of the Nittany AI Challenge.
iLenz— $15,000 Winner
iLenz is an AI–based tool that enables users to perform retinal imaging through mobile phones using a clip-on case. Through iLenz, the team aims to promote periodic eye-checks from the comfort of homes, providing users an advantage in early disease detection as a preventative approach.
Team Members:
- Abhay Chamu Haridas
Design, co-technical lead; MPS Data Analytics, Penn State Great Valley - Akanksha Anand
Presentation, co-design lead; MPS Data Analytics, Penn State Great Valley - Dominic Thomas
Technical lead; MPS Data Analytics, Penn State Great Valley - Namratha Sri Mateti
Team lead; MPS Data Analytics, Penn State Great Valley - Parv Bhatt
Subject matter expert; MPS Data Analytics, Penn State Great Valley - Dr. Youakim Badr
Mentor; professor of data analytics, Penn State Great Valley
SchizophrenAI — $5,000 Winner
SchizophrenAI provides an anti-saccadic assessment which measures abnormality in eye movement, allowing trained and untrained doctors to better identify schizophrenic patients and connect them with the nearest mental health facilities.
Team Members:
- Parker Sell
Project management team lead; College of Engineering, Penn State University Park - Maria Czura
UX/UI designer; College of Information Sciences Technology, Penn State University Park - Thomas Foltz
Computer vision researcher; College of Engineering, Penn State University Park - Carlton Jarmon
Business management; Smeal College of Business, Penn State University Park - John Keeling
Full stack developer; College of Engineering, Penn State University Park - Gia Nguyen
Business analyst; College of Information Sciences Technology, Penn State University Park - Loc Phan
Domain and outreach team lead; Eberly College of Science, Penn State University Park - Frederick Sion
Application design team lead; College of Engineering, Penn State University Park - Samarth Tehri
AI team lead; College of Engineering, Penn State University Park
LexNectare — $5,000 Winner
LexNectare aims to improve access to justice by using artificial intelligence and machine learning methods to create tools that guide people with legal problems to appropriate resources and assist with generating documents that can be taken to a lawyer or filed with a court.
Team Members:
- Anthony FernandoPenn State Dickinson Law, Carlisle
- Scott Lovejoy
Penn State Dickinson Law, Carlisle - Jeremy A. Garcia
Penn State Dickinson Law, Carlisle - Lyubomir Avdzhiyski
Penn State Dickinson Law, Carlisle - Hon. Thomas Vanaskie
Penn State Dickinson Law, Carlisle
2022 Phase Two Winners
Ten teams have been awarded $1,500 and will move forward to compete in the Minimum Viable Product (MVP) Phase. MVP submissions are due August 11, 2022, and the winners will be announced on September 10 at the second annual AI for Good Expo.
- AI Money Minder (formerly M&MH Team) — a fintech tool helping identify early-warning signs for individuals with serious mental illnesses
- AquaSafeAI — monitors water points for water quantity and quality to determine when safe water is available
- AudioHUD — providing a tool for the Deaf and Hard of Hearing community to enhance situational awareness
- Career-Connect — a social network application focused on profile upskilling and connecting people
- Have AI Heart — an app assisting in the prediction and prevention of heart disease
- iLenz — an affordable tool providing AI–based, dilation-free home eye exams
- LexNectare — a tool that helps guide attorneys providing pro-bono service through the legal elements of the claim
- RetroFlux — an online note-sharing platform where students can edit notes in a real-time collaborative environment
- SchizophrenAI — a mental health resource promoting awareness and accessibility of resources for serious mental health issues
- WildAI (formerly Early Warning System for Wildlife) — a device using AI and sound recognition to tackle the problem of deforestation and poaching
2022 Phase One Winners
Twenty teams have been selected to move forward to compete in the Prototype Phase. Teams have submitted initial ideas to promote AI for Good through education, environment, health, and humanitarianism.
- 42MORO — Helping farmers struggling with crop loss in both open-field and greenhouse applications
- AudioHUD — Providing a tool for the Deaf and Hard of Hearing community to enhance situational awareness
- C0 — Helping university campuses monitor, predict, and reduce their carbon emissions
- Career-Connect — a social network application focused on profile upskilling and connecting people
- Early Warning System for Wildlife — a device using AI and sound recognition to tackle the problem of deforestation and poaching
- Eleos — an interactive AI companion providing a healthy release for negative, pent-up emotions
- Have AI Heart — an app assisting in the prediction and prevention of heart disease
- Hello World — a browser tool helping visually-impaired individuals more fully interact with the online world
- iLenz — an affordable tool providing AI-based, dilation-free home eye exams
- LexNectare — a tool that helps guide attorneys providing pro-bono service through the legal elements of the claim
- M&MH Team — a fintech tool helping identify early-warning signs for individuals with serious mental illnesses.
- PEAR — a mobile application to support healthy eating by providing simple estimations of meal nutrition facts
- Portal AI — a solution using blockchain and AI to track use of funds acquired through donations
- RetroFlux — an online note-sharing platform where students can edit notes in a real-time collaborative environment
- SafeStroll — a safety-focused app that identifies the safest possible walking route for users
- SchizophrenAI — a mental health resource promoting awareness and accessibility of resources for serious mental health issues
- Singularity — an AI–powered reconnaissance drone that provides law enforcement with critical, real-time information
- SkaiVue — an AI–powered drone for surveying land development sites
- Stellar AI — a tool helping job applicants identify the skills and experiences necessary to get the job of their dreams
- SW Swift — a platform to optimize and maximize the efficiency of solar farms and wind turbines