ASL Translator is an application that translates American Sign Language (ASL) gestures into written text. It allows users to communicate using ASL in real-time by capturing video input and processing it using computer vision techniques.
- Clone the repository:
git clone https://github.com/Abdel-Rahman-Emam/Grad-Proj-DL.git - Navigate to the project directory:
cd Grad-Proj-DL - Install the required dependencies:
pip install -r requirements.txt
- Run the app using the command:
streamlit run nav.py - In the app, login or sign up to access the functionality.
- Navigate to the ASL Translator tab.
- The camera feed will display with green text saying "Taking next word" when ready to capture.
- Perform ASL gestures in front of the camera to record the word.
- The recognized word will be displayed in a paragraph on the screen.
- Use the dropdown menu to change the target language for translation.
- Toggle different checkboxes to enable or disable features like TTS (Text-to-Speech), debug mode, and drawing landmarks.
- 18P3602 Abdel Rahman Emam Ali Sadek Kassab
- 18P4060 Hazem Ahmed Youssef Ibrahim
- 18P4607 Hossam El-Din Mohamed Mostafa Ahmed Hammam
- 18P2992 Amr Tarek Mohamed Reda Eldib Ahmed Mohamed Eldib
You can find the project on GitHub: Grad-Proj-DL
For questions or inquiries about the project, please contact hazemahmedyoussef0@gmail.com or abdulrahmankassab.1@gmail.com.