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HARAJIT05 / repository
Translating-Silence is a real-time sign language translator that uses computer vision and machine learning to convert Indian Sign Language (ISL) gestures into text. Designed for accessibility, it captures gestures via webcam and outputs live text, helping bridge communication gaps for the deaf and hard-of-hearing communities.
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Translating-Silence is a computer vision-powered system designed to translate Indian Sign Language (ISL) into text in real-time. The aim is to enhance accessibility and bridge communication gaps for the deaf and hard-of-hearing communities using machine learning.
👉 Download Dataset and Extract to the directory
git clone https://github.com/HARAJIT05/Translating-Silence.git
cd Translating-Silence
pip install -r requirements.txt
Make sure Python and OpenCV are installed on your machine.
To start the application:
Change the directory PATH on line 10 at main.py
python main.py
Translating-Silence/
│
├── main.py # Main script to run the application
├── DenseNet121_Final.keras #Trained AI model
├── templates/ # HTML templates if using web-based output
├── requirements.txt #Required libreries for the python file.
└── README.md # Project documentation
Contributions are welcome! Here's how you can help:
git checkout -b feature-name)git commit -am 'Add feature')git push origin feature-name)This project is licensed under the MIT License.