Results
MVP Phase Winners
Five teams have been awarded funding in the final phase of the 2024 Nittany AI Challenge.
AdvIsor — $5,000 Winner
AdvIsor offers an always-available AI–powered dynamic and personalized assistance to help undergraduate students complete their degrees on time, minimizing education expenses and shortening the time needed to complete a degree. Students input their interests and passions and AdVIsor creates tailored recommendations for classes to take. AdvIsor facilitates multilingual support, ensuring equitable access to students who are not fluent in English.
Team Members:
- Vishnu Venugopal
- Veer Shah
- Krishna Pagrut
bioWatch — $5,000 Winner
bioWatch is an AI and computer vision solution for tracking invasive insect species that are negatively impacting ecosystems in the United States. bioWatch facilitates real-time tracking of species distribution across a region, enabling quick action to manage outbreaks. Large Language model (LLM)–powered chatbots provide tailored decision-making support to users.
Team Members:
- Kyle Ketterer
- Benjamin Oleynik
- Kittiphum Pawikhum
- Ldu Ren
- Matthew Walter
- Yanqiu Yang
Kinderverse — $2,000 Winner
Kinderverse revolutionizes children’s interaction with screen-based content by turning passive screen time into enriching learning adventures. Utilizing AI, Kinderverse generates interactive and adaptive stories that immerse children aged four to six years old in learning. The technology adds a layer of engagement and makes learning a natural part of screen time.
Team Members:
- Alex Floor
- Ethan Flynn
- Ashad Hanafi
- Suraj Kumar
- Bianca Puglin
- Aneesh Singh
- Daniel Woodford
TasteMate — $2,000 Winner
TasteMate uses AI to provide personalized meals that fit individual dietary preferences and health needs. TasteMate generates meal recipes based on the data users provide about their diet, health concerns, medications they are taking, and preferred cuisines.
- Alex Henri Piechucki
- Dylan Micheal Klass
- Scott Charles Theriot
- Amin Justin Armet
- Aaron Thomas Polansky
- Riley Costello
CARL — $2,000 Winner
CARL is an AI teaching assistant designed to foster dynamic interactions between students and teachers, offering tailored support for action learning strategies. CARL enhances classroom engagement through personalized learning and promotes critical thinking.
Team Members:
- Sunghee Choi
- Neha Pandit
- Jared Daniel
- Timothy Birmingham
Project Green Thumb — $1,000 Winner of the Vishwamitra AI Geography Award Funded by the GeoEd Foundation
Project Green Thumb’s mission is to help homeowners and landscapers restore biodiversity to their landscapes by increasing the use of native plant species and decreasing the use of harmful pesticides and fertilizers. Through AI chatbot technology, Project Green Thumb provides personalized, user-friendly recommendations for planting and maintaining non-invasive plants that create thriving eco-friendly landscapes. The technology enables users to learn about the value of native plants and the important ecosystems they create.
Team Members:
- Frank Barbano
- Nathan A. Leo
- Raymond Yan