AURA+ AI DIET PLAN
Link to open source: https://github.com/Purvbnsal32/Papamarge.git
🥗 Real-Time AI Video Agent for Personalized Diet Planning
The TruGen AI Diet Advisor is a revolutionary real-time video AI agent that transforms nutrition consultation through natural, face-to-face conversations. Users interact with a lifelike video avatar powered by TruGen AI's cutting-edge technology, discussing their daily routines (college, school, or office) to receive personalized meal plans.
The intelligent agent conducts multi-turn conversations, gathering information about schedules, dietary preferences, allergies, budget constraints, and fitness levels. Using advanced algorithms, the system calculates precise daily caloric needs and generates customized meal plans with nutritional breakdowns and shopping lists.
Unlike traditional chatbots, this solution delivers end-to-end task completion—not just advice, but actionable meal plans with recipes, prep times, and cost estimates. The stunning interface features smooth animations, responsive design, and real-time WebSocket communication. Built with Node.js backend, React frontend, PostgreSQL database, and Redis caching, it scales effortlessly from startup to enterprise deployment.
Perfect for health-conscious individuals seeking AI-powered nutrition guidance with human-like interaction.
Key Features at a Glance
✅ Real-Time Video Agent - TruGen AI Huma-2 model with facial expressions
✅ Intelligent Conversation - 5-7 conversational turns gathering user data
✅ Personalized Plans - Routine-aware meal recommendations
✅ End-to-End Solutions - Complete meal plans with shopping lists
✅ Modern UI/UX - Beautiful, responsive, animated interface
✅ Production-Ready - Docker, cloud deployment, monitoring
✅ Scalable Architecture - Handles 1000s of concurrent users
✅ Extensible APIs - Easy integration with nutrition databases and fitness trackers
Technical Stack
- AI Agent: TruGen AI (Huma-2, Hawkeye-1)
- Backend: Node.js + Express.js
- Frontend: React 18
- Real-time: Socket.IO + WebSocket
- Database: PostgreSQL + Redis
- Deployment: Docker + Multi-cloud support
- APIs: USDA FoodData, Nutritionix, Weather, Calendar
Use Cases
- College Students - Budget-friendly meal planning for busy schedules
- School Children - Nutritionally balanced lunch box suggestions
- Office Workers - Desk-friendly, energy-sustaining meal plans
- Health-Conscious Users - Personalized nutrition consultation
- Fitness Enthusiasts - Macro-optimized meal planning
- Corporate Wellness - Enterprise white-label solutions
This build was uploaded as a hackathon project
