Sign Language Translator

A real-time sign language translation system using computer vision and machine learning.

Demo

Features

• Real-time hand gesture recognition
• Support for alphabet and number gestures (or custom gestures such as words, sentences, etc.)
• Train your own model with your own dataset
• Easy-to-use command-line interface

Installation

git clone https://github.com/Cerealmaster0621/sign-language-translator.git # Clone the repository
pip install -r requirements.txt # Install dependencies
cd sign-language-translator/src # Go to the src directory
python3 main.py --help

Usage

• Collect data: python main.py --collect [SUBDIR] [START] [END] [SIZE]
  • Example: python main.py --collect numbers 0 10 100 => Collect 100 images of numbers from 0 to 10
    
    
• Train model: python main.py --train [SUBDIR](optional)
  • Example: python main.py --train numbers => Train the model with the numbers dataset(subdirectory of data folder)
    
    
• Test model: python main.py --test(optional) For detailed usage instructions, run: python main.py --help
  
  

Technologies Used

• Python
• OpenCV
• MediaPipe
• scikit-learn

License

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