Shape Shifter - Fitness & Nutrition Tracking App

Shape Shifter is a comprehensive fitness and nutrition tracking application built with React, TypeScript, and Supabase. It helps users track their weight, monitor calorie intake, and maintain a food library for consistent nutrition logging.

Features

• 📊 Weight tracking with visual charts and trends
• 🍎 Daily meal logging with calorie estimation
• 📚 Personal food library for quick meal logging
• 🎯 BMI calculation and weight goals
• ⚡ Real-time data synchronization
• 🌍 New Zealand timezone support
• 📱 Mobile-responsive design
• 🔐 Secure authentication

Tech Stack

• Frontend: React, TypeScript, Tailwind CSS
• Backend: Supabase (PostgreSQL)
• Authentication: Supabase Auth
• State Management: React Context
• UI Components: Custom components with Lucide icons
• Charts: Custom SVG-based charts
• API Integration: OpenAI for calorie estimation

Getting Started

1. Clone the repository
2. Install dependencies:

   npm install

3. Set up environment variables:

   VITE_SUPABASE_URL=your_supabase_url
   VITE_SUPABASE_ANON_KEY=your_supabase_anon_key
   

4. Start the development server:

   npm run dev

Project Structure

src/
├── components/        # React components
├── contexts/         # Context providers
├── lib/             # Utility functions and API clients
├── types/           # TypeScript type definitions
└── App.tsx          # Main application component

Future Enhancements

1. Exercise Tracking

   • Workout logging
   • Exercise library
   • Calorie burn estimation
   • Integration with fitness devices

2. Social Features

   • Progress sharing
   • Community challenges
   • Friend system
   • Achievement badges

3. Advanced Analytics

   • Body measurements tracking
   • Progress photos
   • Trend analysis
   • Custom reports
   • Export functionality

4. Meal Planning

   • Meal plan creation
   • Recipe database
   • Grocery lists
   • Nutritional goals

5. AI Enhancements

   • Personalized workout recommendations
   • Diet suggestions based on goals
   • Progress predictions
   • Image recognition for food logging

6. Health Integrations

   • Apple Health/Google Fit sync
   • Smart scale connectivity
   • Sleep tracking
   • Heart rate monitoring

7. Premium Features

   • Custom meal plans
   • Professional nutrition advice
   • Advanced analytics
   • API access

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support, please open an issue in the GitHub repository or contact the development team.

Acknowledgments

• Icons by Lucide
• Built with Vite
• Powered by Supabase