This project focuses on creating a real-time Indian Sign Language (ISL) detection system using MediaPipe, OpenCV, and Python. The system interprets hand gestures to facilitate communication, aiming to bridge the gap between the hearing and speech-impaired community and the rest of the world.
💬 If you have any questions/feedback, please feel free to reach out to me!
- Real-Time Detection: Uses OpenCV for live video feed processing.
- Hand Gesture Recognition: MediaPipe powers accurate hand tracking and gesture recognition.
- Indian Sign Language Support: Detects and translates ISL gestures into text.
- Python-Powered: Built with Python for flexibility and scalability.
- MediaPipe: For robust and efficient hand tracking.
- OpenCV: For video feed processing and computer vision tasks.
- Python: Core programming language for implementation.
- Machine Learning Models: Integrated for gesture classification.
- Enhance communication for individuals using Indian Sign Language.
- Build a user-friendly and efficient solution for real-time ISL interpretation.
- Leverage AI/ML to improve gesture recognition accuracy.
- Extend the system to support more complex ISL gestures.
- Develop a mobile application for on-the-go ISL detection.
- Integrate text-to-speech functionality for verbal output.
This project is a step toward inclusive communication, and I’d love to collaborate or receive feedback to make it even better. Feel free to contribute or share your insights!