FoodSnap AI - Team unnita1235 Submission

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FoodSnap AI - Complete Full-Stack Implementation

Team: unnita1235

Project Overview

A comprehensive AI-powered nutrition tracking platform that analyzes food images to estimate caloric content and macronutrient breakdown.

Tech Stack

• Backend: FastAPI + Python, PostgreSQL (Supabase), JWT Authentication
• Mobile: React Native + Expo (TypeScript)
• AI: OpenAI GPT-4o Vision API for food image analysis
• Nutrition Data: USDA FoodData Central API
• Deployment: Render (backend), Supabase (database + storage)

Key Features

• AI-powered food image analysis with GPT-4o Vision
• Secure JWT authentication with refresh tokens
• Comprehensive nutrition tracking and daily statistics
• Smart health goal engine with personalized recommendations
• Full mobile app with camera integration
• Historical meal tracking and progress visualization
• User profile management with dietary preferences

Architecture

• RESTful API with 20+ endpoints
• Role-based authentication middleware
• Supabase PostgreSQL with row-level security
• Image upload to Supabase Storage
• Deployed and production-ready on Render