FitGenie is an AI-powered fitness application designed to revolutionize your fitness journey. From personalized workout plans to smart nutrition recommendations, FitGenie is your ultimate fitness companion.

• Personalized Workout Plans: Tailored exercise routines based on your fitness goals and progress.
• Smart Nutrition Recommendations: AI-driven diet plans to support your fitness goals and dietary preferences.
• Real-time Form Analysis: Receive instant feedback on exercise form and technique to ensure safe and effective workouts.
• Interactive AI Buddy: Stay motivated and engaged with our virtual personal trainer who provides guidance and encouragement.
• Seamless Integration: Connect with Google Fit and Google Calendar for effortless tracking and scheduling of fitness activities.
• Educational Resources: Access educational modules on proper exercise techniques and healthy living practices.

• Next.js: Core framework for the web application.
• OpenCV: Powering real-time form analysis during workouts.
• MediaPipe: Enabling precise body movement tracking for exercise guidance.
• Gemini AI: Personalizing workout and diet plans based on user goals.
• Google Fit: Tracking fitness activities such as steps, calories, and workouts.
• Google Calendar: Integrating scheduling and reminders for workout planning.
• Appwrite: Providing secure backend services for authentication and data management.

To install FitGenie locally, follow these steps:

1. Clone the repository: [git clone https://github.com/yourusername/fitgenie.git](https://github.com/VedantS73/FitGenie)
2. Install JS dependencies: npm i
3. Start the development server: npm run dev
4. Visit http://localhost:3000 in your web browser.
5. Open a new terminal and cd AI-Fitness-trainer
6. Install Python dependencies: pip install -r requirements.txt
7. Run Flask application using cvapp.py
8. Open another terminal and enter npx json-server db.json --port 3001
9. Use our amazing app!

We welcome contributions from the community! If you'd like to contribute to FitGenie, please follow our Contribution Guidelines.

This project is licensed under the MIT License.