FitSnap - Personalized Virtual Wardrobe

FitSnap is an AI-powered application that not only predicts your shoulder width, chest, and waist measurements based on your height but also offers a unique social experience. Engage with a Tinder-like interface to swipe right on outfits you love from other users and virtually try them on by overlaying the selected clothing onto your photo.

Features

• Accurate Measurement Predictions: Utilizes advanced AI models to estimate key body measurements.
• Personalized Size Recommendations: Suggests optimal clothing sizes tailored to your body profile.
• Social Outfit Discovery: Explore and like outfits from other users with an intuitive swipe interface.
• Virtual Try-On: Overlay liked outfits onto your photo using cutting-edge image processing techniques.

Virtual Try-On Technology

FitSnap's virtual try-on feature employs a combination of advanced technologies:

1. Clothing Segmentation with U2NET: Segments clothing items from images to isolate them for overlay.
2. Pose Estimation with MediaPipe: Detects and aligns body joints to ensure accurate placement of clothing.
3. Image Processing with OpenCV: Overlays segmented clothing onto user photos, adjusting for pose and alignment.

Installation

1. Clone the Repository:

   git clone https://github.com/jaykerkar0405/FitSnap.git
   

2. Navigate to the Project Directory:

   cd FitSnap
   

3. Install Dependencies:
   • For the backend:

     cd backend
     pip install -r requirements.txt
     

   • For the frontend:

     cd frontend
     npm install
     

Usage

1. Start the Backend Server:

   cd backend
   python app.py
   

2. Launch the Frontend Application:

   cd frontend
   npm start
   

3. Access the Application: Open your browser and navigate to http://localhost:3000 to use FitSnap.

Contributing

We welcome contributions! Please follow these steps:

1. Fork the Repository: Click on the 'Fork' button at the top right of this page.
2. Create a New Branch: Use git checkout -b feature-branch-name.
3. Make Your Changes: Implement your feature or fix.
4. Commit Changes: Use git commit -m 'Description of your changes'.
5. Push to Your Fork: Use git push origin feature-branch-name.
6. Submit a Pull Request: Navigate to the original repository and click on 'New Pull Request'.

Acknowledgements

Special thanks to the contributors: Sundaram Krishnan, Yash Kolekar, Aayush Nair, Jay Kerkar.