This project aims to create a sign language translator using machine learning techniques and Python programming. The application utilizes various modules, primarily Mediapipe, Landmark, and Random Forest algorithms to interpret and translate sign language gestures into text or spoken language.
Sign language is a crucial form of communication for individuals with hearing impairments. This project focuses on bridging the communication gap by creating a tool that can interpret sign language gestures in real-time and convert them into understandable text or speech.
#Navigate to the project directory cd sign-language-detector-flask-python
2. **Install the required dependencies** using the following command:
```bash
pip install -r requirements.txt
python sign-language-detector-flask-python.py
### Home Page
### About Page
### ASL Language
For detailed insights, analysis, and findings, refer to the Project Report provided in the repository.
Contributions are welcome! If you’d like to contribute to this project, feel free to open issues, create pull requests, or reach out to discuss potential improvements.