2020 Results
Phase Three Winners
After creating videos demonstrating their minimum viable products (MVPs) and submitting supporting documentation, four teams were chosen to receive funding from the remaining $25,000 prize pool. The phase three winners are:
- $10,000: Nyansapo, for increasing literacy rates in African countries
- $5,000: AIGuide, for using AI to help the visually impaired navigate indoors and find objects
- $5,000: Cyclone, for using smart technology to reduce large-scale energy waste in buildings
- $5,000: OpenVessel, for building 3-D vascular network models to detect tumors and advance artificial tissue growth
Phase Two Winners
Top teams have been awarded $1,500 and will move on to the minimum viable product (MVP) phase, where each team will present their MPVs to a panel of judges throughout September. Phase two winners include teams representing each area of AI for Good:
Health
- AIGuide: using AI to help the visually impaired navigate indoors and find objects
- COACT: Cowriting Optimized and Ascended Clinical Trials
- DACTR: recommending individualized treatment plans for patients suffering from major depressive disorder
- MedArmor: creating genetic and AI–based diagnoses and medical cost estimation
- OpenVessel: building 3-D vascular network models to detect tumors and advance artificial tissue growth
Education
- Nyansapo: increasing literacy rates in African countries
Sustainability and Climate Change
- Cyclone: using smart technology to reduce large-scale energy waste in buildings
- Energy intelligence: reducing energy use by regulating heating, cooling, and lighting systems
Humanitarianism
- Aidly: using AI to assist nonprofits in volunteer outreach
Phase One Winners
Twenty teams have been awarded $500 and will move forward to compete in the Prototype Phase during Penn State Startup Week.
- ADHD Proposal
- Aidly
- AI–powered lecture engagement enhancer
- Applications of computer vision toward search and rescue
- ARFind: A real-time augmented reality smart navigation system for visually impaired individuals
- Assisting radiologists in diagnoses with convolutional neural networks
- Bloom: Connecting smallholder farmers in developing countries
- Clinical trial design success prediction model and design suggestion tool
- Comments for consideration
- DACTR: Depression Advisory Correctional Therapy Rehabilitation
- Energy Solutions
- Fast Insights: video-to-text summarizer
- Forest Fire Prevention AI
- Insight: predicting demand from historical data using deep learning time series model
- Insurance Compatibility Assistant
- MedArmor: Genetic and AI-based diagnosis and medical cost estimation
- NittanyLink
- Nyansapo
- Tech Cycle
- Vessel