A Context-Aware Health & Fitness AI Coach

AI-Coach is an intelligent health and fitness assistant that leverages advanced AI capabilities to provide personalized coaching for your wellness journey. Built as a full-stack application with a Flutter mobile app and Node.js backend, it integrates with various health and fitness services to deliver personalized workout plans, nutrition guidance, and wellness insights.

⚠️ This project is currently under active development and is not yet ready for production use. We're following a phased development approach as outlined in our Development Plan.

The AI-Coach project follows a structured, multi-phase development plan to ensure systematic progress and high-quality results. Below is an overview of the main phases:

• Establish monorepo structure for backend, mobile, shared types, docs, and scripts
• Set up Node.js/Express backend with TypeScript and MongoDB
• Implement JWT authentication and basic user/session management
• Design initial database schemas for users, coaching sessions, health data, and workout plans

• Integrate OpenAI for AI-powered coaching
• Manage conversation context and token usage
• Implement vector search in MongoDB Atlas for context retrieval
• Build a flexible tool integration system for fitness/nutrition APIs

• Develop RESTful APIs for coaching, health data, workouts, and user profiles
• Implement validation, authentication, and response formatting
• Enable health data analysis and personalized recommendations

• Set up Flutter project with organized folder structure and state management
• Develop core screens: fitness chat, health dashboard, workout/nutrition tracking, settings, and profile
• Implement real-time features: live coaching, workout tracking, voice commands, and notifications

• Build advanced fitness intelligence: workout analysis, recommendation ranking, and progress tracking
• Add multi-modal analysis: exercise form (video/photo), food recognition, and progress photos
• Implement motivation features: reminders, encouragement, and goal tracking

• Integrate with health platforms (Apple HealthKit, Google Fit, Fitbit, etc.)
• Connect to workout/nutrition apps and APIs
• Enable calendar, sleep, and wellness tracking integrations

• Create comprehensive test suites for backend and mobile
• Test AI response quality, vector search accuracy, and performance
• Ensure privacy, security, and data protection

• Optimize backend and mobile app performance
• Implement caching, compression, and efficient state management
• Enhance AI pipeline efficiency and cost-effectiveness

• Enforce data encryption, input validation, and API security
• Provide user privacy controls, consent management, and data deletion

• Set up Docker, CI/CD pipelines, and production infrastructure
• Prepare mobile app for app store distribution and monitoring

This phased approach ensures the project is built with scalability, security, and user experience in mind, delivering a robust AI-powered health and fitness coaching platform.

• Phase 1: Project Setup & Architecture ✅
• Phase 2: AI Integration Layer 🔄 (In Progress)
• Phase 3: Backend API Development 📋 (Planned)
• Phase 4: Flutter Mobile App 📋 (Planned)
• Phase 5: Advanced AI Features 📋 (Planned)

We welcome contributions from the community! Whether you're interested in:

• 🧠 AI/ML development
• 📱 Flutter mobile development
• 🔧 Backend API development
• 🎨 UI/UX design
• 📚 Documentation
• 🧪 Testing

Please see our Contributing Guidelines below.

• 🤖 AI-Powered Health Coaching: Natural language interactions with fitness expertise
• 💪 Personalized Workout Plans: Custom training programs based on your goals
• 🥗 Nutrition Guidance: Meal planning and dietary recommendations
• 📊 Health Analytics: Comprehensive wellness tracking and insights
• 🔗 Fitness Integrations: Connect with your favorite health apps and devices
• 📱 Cross-Platform Mobile App: Flutter-based iOS and Android support
• 🧠 Smart Recommendations: AI-driven insights based on your health data
• 🔒 Privacy-First: Secure health data handling and encryption
• ⚡ Real-time Updates: Live tracking and instant feedback

AI-Coach/
├── backend/           # Node.js/Express API server
├── mobile/           # Flutter mobile application
├── shared/           # TypeScript types and interfaces
├── docs/             # API documentation
├── scripts/          # Deployment and utility scripts
└── README.md         # This file

• Node.js (v18 or higher)
• Flutter SDK (v3.10 or higher)
• MongoDB Atlas account
• OpenAI API key
• Git

1. Navigate to backend directory:

   cd backend

2. Install dependencies:

   npm install

3. Configure environment variables:

   cp .env.example .env

   Edit .env with your configuration:

   MONGODB_URI=your_mongodb_atlas_connection_string
   OPENAI_API_KEY=your_openai_api_key
   JWT_SECRET=your_jwt_secret
   PORT=3000
   NODE_ENV=development

4. Start the development server:

   npm run dev

1. Navigate to mobile directory:

   cd mobile

2. Install Flutter dependencies:

   flutter pub get

3. Configure API endpoint: Edit lib/config/api_config.dart with your backend URL.

4. Run the app:

   flutter run

• 💬 Fitness Chat: AI-powered workout and nutrition conversations
• 🎤 Voice Commands: Hands-free workout tracking and coaching
• 📊 Health Dashboard: Comprehensive fitness metrics and progress
• 💪 Workout Tracker: Real-time exercise logging and form guidance
• 🥗 Nutrition Log: Meal tracking and dietary recommendations
• ⚙️ Settings: Fitness preferences and device integrations
• 👤 Profile: Health goals and personal fitness data

• 🏃‍♂️ Health & Fitness: Apple HealthKit, Google Fit, Fitbit, Garmin
• 💪 Workout Apps: Strava, MyFitnessPal, Nike Run Club
• 🥗 Nutrition Apps: Cronometer, Lose It!, MyPlate
• 📱 Wearables: Apple Watch, Fitbit, Garmin devices
• 🏋️‍♂️ Gym Equipment: Smart equipment integration

• POST /api/auth/register - User registration
• POST /api/auth/login - User login
• POST /api/auth/refresh - Token refresh

• POST /api/coaching/message - Send fitness question, get AI response
• GET /api/coaching/sessions - Retrieve coaching history
• POST /api/coaching/session - Create new coaching session
• PUT /api/coaching/session/:id - Update session metadata
• DELETE /api/coaching/session/:id - Archive coaching session

• POST /api/workouts/create - Create personalized workout plan
• GET /api/workouts/history - Retrieve workout history
• PUT /api/workouts/:id - Update workout progress
• DELETE /api/workouts/:id - Delete workout plan

• POST /api/health/update - Store health and fitness data
• GET /api/health/retrieve - Get relevant health context for AI
• POST /api/health/embedding - Generate embeddings for health data
• GET /api/health/search - Vector similarity search for fitness insights

• GET /api/user/profile - Get user fitness profile
• PUT /api/user/profile - Update user fitness profile
• GET /api/user/goals - Get fitness goals
• PUT /api/user/goals - Update fitness goals

• Workout Analysis: Exercise form and performance evaluation
• Nutrition Optimization: Personalized meal planning and recommendations
• Progress Tracking: AI-driven fitness goal monitoring
• Smart Coaching: Context-aware fitness advice and motivation

• Fitness Tracker Sync: Real-time health data from wearables
• Workout Recommendations: Personalized exercise suggestions
• Nutrition Guidance: Dietary advice based on health metrics
• Recovery Monitoring: Rest and recovery optimization

• Exercise Form Analysis: Video-based movement assessment
• Food Recognition: Photo-based nutrition logging
• Voice Commands: Hands-free workout tracking
• Progress Photos: Visual fitness transformation tracking

• Encryption: AES-256 encryption at rest and in transit
• Authentication: JWT-based secure authentication
• Authorization: Role-based access control
• Input Validation: Comprehensive sanitization

• Health Data Protection: HIPAA-compliant health information handling
• Consent Management: Granular fitness data permission controls
• Data Deletion: Complete health and fitness data removal
• Privacy Dashboard: Transparent health data usage

cd backend
npm run test          # Unit tests
npm run test:integration  # Integration tests
npm run test:coverage # Coverage report

cd mobile
flutter test          # Unit and widget tests
flutter test integration_test/  # Integration tests

• API Response Time: < 200ms
• Mobile App Startup: < 2 seconds
• AI Fitness Advice Accuracy: > 90%
• System Uptime: > 99.5%
• User Workout Completion Rate: > 75%

• Fitness Performance: Real-time workout metrics tracking
• Health Data Analytics: Comprehensive fitness insights
• User Progress: Workout completion and goal achievement
• AI Coaching Quality: Fitness advice accuracy monitoring

cd backend
npm run build
npm run start

cd mobile
flutter build apk --release    # Android
flutter build ios --release    # iOS

🎉 We're excited to have you contribute to AI-Coach! This is an open-source project that thrives on community collaboration.

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request

• 🧠 AI Fitness Coaching: OpenAI API integration, workout recommendation algorithms
• 📱 Mobile Development: Flutter fitness UI components, workout tracking
• 🔧 Backend APIs: Express.js fitness endpoints, health data management
• 🎨 UI/UX Design: Fitness app interface, workout flow design
• 🧪 Testing: Fitness feature testing, health data validation
• 📚 Documentation: Fitness API docs, workout guides, nutrition resources
• 🔒 Security: Health data protection, HIPAA compliance features

• Follow TypeScript best practices
• Write comprehensive tests
• Maintain code documentation
• Use conventional commit messages
• Follow Flutter style guidelines

• API Documentation - Complete API reference
• Architecture Guide - System design overview
• Deployment Guide - Production deployment instructions

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

• OpenAI for GPT-4 and fitness coaching capabilities
• MongoDB Atlas for health data storage and workout recommendations
• Flutter for cross-platform fitness app development
• Cursor AI for development acceleration
• Fitness Community for inspiration and feedback

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: support@ai-coach.com

Built with ❤️ for the fitness community using modern AI and health technology