Sign_bridge ai

SignBridge is an advanced web application designed to bridge communication between hearing and non-hearing individuals. It uses modern machine learning to provide real-time sign language recognition and translation, making conversations smoother and more accessible for everyone.

Benefits

SignBridge offers several key advantages:*Real-time Translation:Converts sign language to text and text to sign language instantly, making conversations seamless.*High Accuracy:Uses advanced machine learning (YOLOv8) to achieve up to 99% accuracy in recognizing sign language gestures.*User-Friendly Interface:Features a modern, responsive, and accessible design built with Next.js, React, and Tailwind CSS.*Extensible:The modular codebase allows for easy addition of new features or support for additional sign languages.

Use Cases

SignBridge can be used in various settings to improve communication:*Educational Institutions:Helps teachers and students communicate effectively in classrooms.*Healthcare Settings:Assists healthcare professionals in communicating with non-hearing patients.*Workplaces:Facilitates better communication in diverse work environments.*Everyday Conversations:Enables seamless communication between hearing and non-hearing individuals in daily life.

Additional Information

SignBridge is an open-source project available under the MIT License. It is built using a combination of Python, Flask, Next.js, and React. The project includes a curated set of SVG assets for American Sign Language (ASL) fingerspelling, which are used for text-to-sign translation. The backend is powered by YOLOv8 for high-accuracy sign language recognition, and the frontend provides a user-friendly interface for both sign-to-text and text-to-sign functionalities.