An AI-powered calorie-tracking app that uses depth-sensing and computer vision to analyze food photos, instantly calculating volume, identifying ingredients, and providing precise nutritional breakdowns.

• 📸 AI Food Recognition: Advanced computer vision to identify food items
• 📏 Volume Estimation: Depth-sensing technology for accurate portion sizing
• 🥗 Nutritional Analysis: Detailed breakdown of calories, protein, carbs, and fat
• 📊 Progress Tracking: Visual dashboards and weekly progress charts
• 🎯 Goal Setting: Personalized nutrition goals and achievements
• 📱 Cross-Platform: Works on iOS, Android, and Web

• Node.js 18+
• Expo CLI
• EAS CLI (for building)

npm install

npm run dev

npm run dev:clear

npm run build:dev

npm run build:preview

npm run build:production

The app uses expo-camera for food scanning. Camera features work on:

• ✅ iOS devices (with Expo Dev Client)
• ✅ Android devices (with Expo Dev Client)
• ⚠️ Web (mock functionality for development)

Since this app uses camera functionality, you'll need to use Expo Dev Client instead of Expo Go:

1. Install Expo Dev Client on your device
2. Build a development version: npm run build:dev
3. Install the development build on your device
4. Run npm run dev and scan the QR code with your development build

app/
├── (tabs)/           # Tab navigation screens
│   ├── index.tsx     # Camera/Scan screen
│   ├── dashboard.tsx # Nutrition dashboard
│   ├── history.tsx   # Meal history
│   └── profile.tsx   # User profile
├── _layout.tsx       # Root layout
└── +not-found.tsx    # 404 screen

components/           # Reusable UI components
services/            # Data services and AI mocks
hooks/               # Custom React hooks

• Framework: Expo Router with React Native
• Navigation: Expo Router (file-based routing)
• Camera: expo-camera
• Icons: Lucide React Native
• Animations: React Native Reanimated
• Charts: React Native SVG
• State Management: React Hooks

• iOS: Full functionality with development build
• Android: Full functionality with development build
• Web: Limited functionality (no camera, mock data)

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test on both iOS and Android
5. Submit a pull request

MIT License - see LICENSE file for details