shahana67/sign-language-recognition

Overview This project aims to develop a system capable of recognizing sign language gestures and translating them into text or spoken language. Sign language is a crucial means of communication for people with hearing impairments, and this project seeks to bridge the communication gap by leveraging machine learning and computer vision techniques.

Features *Real-time sign language gesture recognition. *Translation of recognized gestures into text or spoken language. *Support for multiple sign languages (e.g., American Sign Language, British Sign Language, etc.). *User-friendly interface for easy interaction. Technologies Used *Python *OpenCV for computer vision tasks *TensorFlow or PyTorch for deep learning models *Flask for creating a web interface (optional) *HTML/CSS/JavaScript (if developing a web interface) Setup Clone this repository to your local machine. bash Copy code git clone https://github.com/your_username/sign-language-recognition.git Install the required dependencies. bash Copy code pip install -r requirements.txt