/MotionMind

Evolutionizing interaction. Real-time hand gestures meet computer applications. Navigate, control, and command effortlessly with natural movements. Embrace the future of intuitive technology.

Primary LanguageJupyter NotebookMIT LicenseMIT

MotionMind: Real-Time Hand Gesture Recognition

MotionMind is an innovative project that enables real-time hand gesture recognition to interact with computer applications using natural hand movements. This repository contains the source code and resources for the MotionMind project.

Features

  • Detect and interpret hand gestures in real time.
  • Perform actions such as application control, navigation, and more.
  • Seamless integration with OpenCV and the cvzone library.

Installation

  1. Clone this repository:

    git clone https://github.com/anush892/MotionMind.git

  2. Navigate to the project directory:

    cd MotionMind

  3. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Run the project:

    python motionmind.py

  2. Follow the on-screen instructions to interact with computer applications using hand gestures.

Contributing

Contributions are welcome! If you have ideas for improvements or bug fixes, please submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgments

  • This project utilizes the cvzone library for hand tracking.

Contact

For inquiries or feedback, please contact anushsharma892@gmail.com.