AirFlow

Description

AirFlow is a project that utilizes hand gestures for controlling and interacting with digital content. It employs computer vision techniques to track hand movements captured by a webcam and translates them into various actions, such as drawing on a canvas or controlling applications.

Features

• Hand gesture recognition using Mediapipe framework
• Real-time interaction with digital content
• Supports multiple colors and drawing modes
• Clear button for resetting the canvas
• Easy setup and usage

Installation and running:

1. Clone the repository:

   git clone [https://github.com/](https://github.com/MadhumithaKolkar/AirFlow.git)
   

2. Install the required packages:

  python -m pip install opencv-python numpy mediapipe

3. Run the Python script:

  python AirFlow.py

4. Use hand gestures to interact with the application:

   • Move your hand to draw on the canvas
   • Change colors by selecting different regions on the screen
   • Clear the canvas by pressing the "CLEAR" button
   • Exit the application by pressing the "q" key

Contributing

Contributions are welcome! Here's how you can contribute:

• Fork the repository
• Create your feature branch (git checkout -b feature/your-feature)
• Commit your changes (git commit -am 'Add some feature')
• Push to the branch (git push origin feature/your-feature)
• Create a new Pull Request

Credits

• Mediapipe - Hand tracking framework
• OpenCV - Computer vision library

Creators

• Madhumitha Kolkar

License

• This project is licensed under the MIT License - see the LICENSE file for details.