An AI-powered desktop app to analyze workout posture, suggest custom meal plans, and track progress — all in one place.

FitFusion is a desktop-based fitness assistant that combines:

1. Pose Detection for Form Correction using Mediapipe + OpenCV

   • 🎥 Tracks keypoints for exercises like push-ups, planks, squats, etc.
   • 🧠 Gives posture-based rep count & real-time correction feedback

2. AI-Powered Meal Planning

   • 🍽️ Uses Gemini AI + Spoonacular API
   • 📊 Generates meal plans based on calorie requirements and user preferences

3. User Management + Progress Tracking

   • 🔒 Signup/Login with Supabase auth
   • 🔥 Track workout streaks and visualize BMI changes over time

• Live camera stream analyzed via Mediapipe Pose model
• Calculates angles & form to verify posture
• Reps auto-counted if pose is correct

• Users input preferences (veg/non-veg, allergies, calories)
• Gemini AI + Spoonacular API returns full-day meal plan

• BMI calculator & visualizer (via matplotlib)
• Weekly streak history stored in Supabase DB

git clone https://github.com/your-username/FitFusion.git
cd FitFusion

pip install -r requirements.txt

• In Database.py, enter Supabase credentials
• In meal_planner.py, set Gemini + Spoonacular API keys

python Login.py

• ✅ Real-time form correction and rep counting
• ✅ Smart meal plans based on dietary needs
• ✅ Visual BMI progress graphs
• ✅ User login, streaks, and habit tracker

• 🗣️ Add voice-guided workouts and assistant
• 📱 Launch mobile version (Android/iOS)
• 🌍 Include regional/local meal options
• 🏆 Fitness leaderboard and community challenge system
• ☁️ Cloud sync and backup of progress data

👤 Usama Shahid 📧 Email: dev.usamashahid@gmail.com

Feel free to reach out for:

• 🤝 Collaboration or code queries
• 💬 Troubleshooting or improvement ideas
• 🎯 Customizations or contributions

This project is for academic and research purposes only. Feel free to fork, reference, and learn - but give credit where due 🙏