MarkSense is a real-time sign language detection system designed to assist individuals with speech impairments. It uses machine learning to recognize gestures and translate them into meaningful output.
- Real-time gesture recognition
- High accuracy with TensorFlow & Mediapipe
- Custom gesture training support
- Cross-platform compatibility
- Lightweight, user-friendly interface
- Python, OpenCV, NumPy
- TensorFlow, Keras, Mediapipe
- Anaconda3 (recommended environment)
- Clone the repository:
git clone https://github.com/yourusername/marksense.git cd marksense - Install dependencies in a virtual environment:
python -m venv test_env
test_env\Scripts\activate
pip install -r packages.txt
- Collect gesture data:
python datacollection.py
- Test the system:
python test.py
Feel free to open issues or submit PRs!