Translating-Silence

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.

🚀 Features

• 🎥 Real-time sign language detection using a webcam
• 🧠 ISL gesture recognition using machine learning
• 🖥️ Live text output of detected gestures
• 🔧 Easy to modify and expand for more gestures/languages

🛠️ Installation

👉 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.

▶️ Usage

To start the application:

Change the directory PATH on line 10 at main.py

python main.py

• Sign using ISL in front of your webcam.
• The model will recognize gestures and display corresponding text on the interface.

🗂️ Project Structure

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

📷 Demo

🤝 Contributing

Contributions are welcome! Here's how you can help:

1. Fork the repo
2. Create your branch (git checkout -b feature-name)
3. Commit changes (git commit -am 'Add feature')
4. Push to the branch (git push origin feature-name)
5. Open a Pull Request

👤 Contributors

Harajit Das

Arpan Senapati

Sulagna Mahato

Priya Naiya

Sagar Mazumdar

Abu Sahid Mistri

📄 License

This project is licensed under the MIT License.