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HandSignActionDetection ✋🤖

Welcome to the HandSignActionDetection project! This repository contains code and resources for detecting hand sign actions using machine learning and computer vision techniques.

📚 About

HandSignActionDetection is a project aimed at recognizing and detecting various hand sign actions. The system utilizes a pre-trained model and OpenCV to accurately identify hand gestures in real-time.

🛠️ Features

  • Real-time Hand Sign Detection: Utilizes OpenCV for real-time video processing.
  • Pre-trained Model: Includes a trained model to classify different hand signs.
  • Easy to Use: Simple and intuitive interface for testing and deploying hand sign detection.

📁 Project Structure

  • checking.py: Script for checking the input data.
  • model.ipynb: Jupyter notebook for model training and evaluation.
  • nmod.h5: Pre-trained model file.
  • opencv.py: Script for hand sign detection using OpenCV.

🚀 Getting Started

To get started with the HandSignActionDetection project, follow these steps:

  1. Clone the repository: 
    git clone https://github.com/kamlendra342/HandSignActionDetection.git
cd HandSignActionDetection

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the project.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

📞 Contact

For any questions or suggestions, please reach out to the project maintainer at kamlendra342.