Eckstein is a modern iOS fitness tracking app built with SwiftUI and Core Data, designed to help users track their workouts, diet, weight progress, and receive AI-powered coaching.

• Comprehensive exercise library with categorization
• Set tracking with weight, reps, and rest time
• Workout history and progress visualization
• Support for custom exercises

• Meal tracking with nutritional information
• Calorie bank system for flexible dieting
• Food database with search functionality
• Daily/weekly nutrition summaries

• Weight entry with progress charts
• BMI calculation and tracking
• Goal setting and progress monitoring
• Visual trend analysis

• Personalized workout and nutrition advice
• Form tips and exercise recommendations
• Progress analysis and suggestions
• Chat-based interaction with context awareness

• Offline-first architecture with cloud sync
• Multi-language support (English, Hebrew)
• Dark mode support
• HealthKit integration
• Xiaomi scale support (coming soon)

• Frontend: SwiftUI, Core Data
• Backend: Supabase (PostgreSQL)
• AI: OpenAI GPT-4
• Architecture: MVVM with Coordinator pattern
• Minimum iOS: 17.0

• Xcode 15.0 or later
• iOS 17.0+ device or simulator
• Supabase account (for backend)
• OpenAI API key (for AI features)

1. Clone the repository:

git clone https://github.com/yourusername/eckstein.git
cd eckstein

2. Open the project in Xcode:

open Eckstein/Eckstein.xcodeproj

3. Configure environment:

   • Copy .env.example to .env
   • Add your Supabase URL and keys
   • Add your OpenAI API key

4. Build and run the project in Xcode

The app uses Supabase as the backend. The complete database schema is provided in FINAL_VERSION_APP_DB.sql. To set up:

1. Create a new Supabase project
2. Run the SQL script in the Supabase SQL editor
3. Update your .env file with the project credentials

The app follows a clean architecture pattern:

• Core/: Core services, utilities, and data models
• Features/: Feature modules (Workout, Diet, Weight, AI)
• Resources/: Assets, localizations, and configurations
• App/: App entry point and coordinators

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

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

• Built with SwiftUI and Core Data
• Powered by Supabase and OpenAI
• Designed for fitness enthusiasts by fitness enthusiasts