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Welcome to the Sign Language to Speech Conversion Wiki. This serves as the central documentation hub for understanding, using, and contributing to the project.
This project is a real-time ASL (American Sign Language) recognition system that translates hand gestures into text and speech output, enhancing communication accessibility.
Sign Language to Speech Conversion is an AI-powered system that:
✅ Detects and tracks hand gestures in real-time
✅ Utilizes a deep-learning-based classifier for accurate recognition
✅ Converts gestures into both text and audible speech
✅ Offers an intuitive, user-friendly interface for easy interaction
For more details, explore the documentation below.
For an in-depth technical report on the project, download the full documentation:
📄 Sign Language to Speech Conversion – Full Report
We welcome contributions from developers, researchers, and accessibility advocates. If you'd like to contribute, please check the Contributing Guidelines.
For any issues, feature requests, or discussions:
📌 Report Issues → GitHub Issues
💬 Join the Discussion → GitHub Discussions
This Wiki serves as the primary documentation resource for all project stakeholders. For updates, inquiries, or feedback, please refer to the repository’s issues or contact the maintainers.
This Wiki serves as the central documentation hub for the Sign Language to Speech Conversion project.
For updates, discussions, or inquiries:
- 📌 Report issues or request features: GitHub Issues
- 💬 Join the discussion: GitHub Discussions
- 🤝 Contribute to the project: Contribution Guidelines
For any additional questions, please contact the project maintainers through the repository.