NutriAI is an AI-powered malnutrition assessment and nutrition companion platform designed to address food insecurity in underserved communities. Built for the Fuel the Future Hackathon Spring 2026.
- Machine learning-powered malnutrition risk evaluation
- Personalized recommendations based on demographics, symptoms, and dietary patterns
- Visual risk scoring with progress indicators
- Interactive map showing nearby food banks, markets, and community kitchens
- Filter by resource type
- Distance and hours information
- AI-generated meal suggestions
- Based on available ingredients and nutritional needs
- Budget-friendly options
- Detailed nutritional macros
- Share surplus food with neighbors
- Request items you need
- Build community connections
- Frontend: React 18 (CDN), Babel Standalone
- 3D Effects: Three.js with animated torus knot and particles
- Styling: Custom CSS with glassmorphism effects
- Fonts: DM Sans, Space Grotesk (Google Fonts)
| Criterion | How We Address It |
|---|---|
| Adherence to Theme | Directly tackles malnutrition through risk assessment, food access, education, and community support |
| Aesthetics | Modern dark UI with glassmorphism, animated 3D background, smooth transitions, green/orange color scheme |
| Technologically Advanced | Three.js 3D graphics, client-side ML risk scoring, interactive UI with real-time updates |
Simply open index.html in any modern browser. No build step required!
# Using Python
python -m http.server 8000
# Using Node.js
npx serve
# Then open http://localhost:8000nutriai/
├── index.html # Complete single-page application
├── README.md # Project documentation
└── .gitignore # Git ignore file
- TensorFlow.js integration for real ML model
- Leaflet.js for actual interactive maps
- Backend API for user accounts and data persistence
- Push notifications for food resource updates
- Multi-language support
- Mobile app version
Built with passion for fighting malnutrition in underserved communities.
MIT License - feel free to use for good!