Fit Monitor

A smart fitness and nutrition mobile application powered by artificial intelligence, designed to provide personalized health coaching through adaptive workout plans, smart meal recommendations, and real-time progress tracking.

📱 Features

• AI-Generated Workout Plans: Customized training programs based on user BMI and fitness goals.
• Calorie & Macronutrient Prediction: AI calculates user-specific daily requirements.
• Meal Planning: Personalized daily meal plans aligned with goals and dietary preferences.
• Progress Tracking: Monitor BMI, body changes, and daily achievements with analytics.
• Authentication: Secure login via JWT and OAuth2 with Spring Security.
• Notifications: Email-based updates for plan recommendations and progress summaries.
• Responsive UI: Clean and intuitive Flutter-based interface.
• Saved Workouts & Meals: Users can bookmark and revisit personalized sessions.

🛠️ Tech Stack

• Frontend: Flutter (Dart)
• Backend: Spring Boot, Spring Security, OAuth2, JWT, JPA, PostgreSQL
• AI Models: Python (Flask) – for recommendation systems and fitness predictions
• CI/CD: GitHub Actions & Fastlane
• Cloud Storage: Cloudinary – for media hosting (exercise images/videos)
• Documentation: Swagger (OpenAPI)
• Deployment: Railway (AI server), Render (backend)

📦 Dependencies

Key packages and tools used across the mobile app:

• State Management: flutter_bloc, provider, equatable
• Networking: dio, retrofit, pretty_dio_logger, dartz
• UI Enhancements: carousel_slider, lottie, flutter_svg, flutter_native_splash
• Authentication: firebase_auth, google_sign_in
• Media Handling: image_picker, cached_network_image
• Storage & Local Data: flutter_secure_storage

⚙️ Installation and Setup

Clone the Repository

git clone https://github.com/your-username/fit-monitor.git

Navigate to the Project Directory

cd fit-monitor

Install Flutter Dependencies

flutter pub get

Run the App

flutter run

🔗 Related Repositories

• 🔙 Backend: Spring Boot API
• 🧠 AI Server: Python Flask AI Models

📹 Demo Video

demo.mp4

🤝 Contribution

We welcome your contributions to improve the platform. To contribute:

1. Fork the repo
2. Create your feature branch (git checkout -b feature-name)
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

📬 Contact

For questions, collaborations, or feedback, feel free to contact:

Abdelrahman Waheed
📧 abdelrahman.waheed198@gmail.com
🔗 GitHub Profile