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Sign Language Detection Project

Overview

This project aims to develop a sign language detection system using computer vision techniques. The system will be able to recognize and interpret sign language gestures captured via a camera feed in real-time. This README provides an overview of the project, including its objectives, requirements, installation instructions, usage guidelines, and contribution information.

Objectives The main objectives of this project are as follows:
  • Develop a computer vision model capable of accurately detecting and recognizing sign language gestures.
  • Implement real-time processing of camera feed to interpret gestures as they are performed.
  • Provide a user-friendly interface for interacting with the system.

Requirements

Python 3.x
OpenCV
TensorFlow
NumPy
Matplotlib (for visualization, optional)
Webcam or any camera device for capturing input.
Installation Clone the repository to your local machine Contributing Contributions to this project are welcome! If you'd like to contribute, please follow these steps:

Fork the repository.

1.Create a new branch for your feature or bug fix.
2.Make your changes and ensure they adhere to the project's coding standards.
3.Test your changes thoroughly.
4.Create a pull request, clearly describing the changes you've made.

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