An awesome virtual try-on app!

View Demo · Report Bug · Request Feature

• Virtual fitting room, allowing users to try clothes on personal photos thanks to AI technology that creates realistic simulations
• Suitable clothing suggestions, providing product recommendations based on fashion style, color, and existing wardrobe
• Shopping integration, making it easy for users to order through e-commerce platforms after trying on clothes
• StyleMate, an AI virtual assistant providing information on fashion trends, outfit combination suggestions, and optimizing the shopping experience.

With these features, EasyFit not only brings a more intuitive experience but also optimizes the process from trying on clothes to purchasing, making it more convenient for users and reducing risks when shopping online. 🚀

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• Node.js and npm/yarn
• Expo CLI (npm install -g expo-cli)
• Python 3.10+ and pip
• Conda (optional, for managing Python environments)
• Git

Backend (Server):

1. Clone the repo:

   git clone https://github.com/Page0526/virtual-try-on.git cd virtual-try-on

2. Navigate to the server directory:

   cd server

3. Create and activate a Python environment (using Conda):

   conda create --name easyfit-env python=3.10 conda activate easyfit-env 

   (Or use python -m venv venv and source venv/bin/activate / venv\Scripts\activate)
4. Install Python dependencies:

   pip install -r requirements.txt

5. Set up environment variables (e.g., Supabase keys, Google API key). You might need a .env file in the server directory. Refer to server/config/setting.py.

   # Example .env content (replace with actual values) SUPABASE_URL=YOUR_SUPABASE_URL SUPABASE_KEY=YOUR_SUPABASE_ANON_KEY # Add other required keys (like Google API Key if needed by backend features)

6. Run the FastAPI server:

   uvicorn main:app --reload --host 0.0.0.0 --port 8000 

   (Ensure you are in the server directory)

Frontend (Client):

1. Navigate to the client directory (from the project root):

   cd ../client 

2. Install Node.js dependencies:

   npm install 

   (or yarn install)
3. Set up environment variables for the client if needed (e.g., Clerk keys). Refer to the code using process.env. You might need a .env file in the client directory.

   # Example .env content (replace with actual values if used) EXPO_PUBLIC_CLERK_PUBLISHABLE_KEY=YOUR_CLERK_KEY 

4. Start the Expo development server:

   npx expo start

5. Follow the instructions in the terminal to open the app on a simulator/emulator or physical device using the Expo Go app.

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Get to the try-on screen and start try on whatever clothes you want!

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See the open issues for a full list of proposed features (and known issues).

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If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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