Real-Time Sign Language Recognition in Digital Meeting

Real-Time Sign Language Recognition in Digital Meetings is an innovative solution designed to bridge the communication gap for individuals with hearing or speech impairments, fostering inclusivity and accessibility in digital communication. By integrating advanced technologies such as deep learning, WebRTC, and text-to-speech synthesis, this system enables the seamless conversion of sign language gestures into audible speech in real time, ensuring effective interaction between verbal and non-verbal participants. The solution leverages deep learning models to accurately recognize and interpret sign language gestures, while WebRTC facilitates low-latency, real-time communication, making it suitable for virtual meetings and online collaboration platforms. Furthermore, the integration of text-to-speech synthesis ensures that recognized gestures are transformed into clear, audible output, allowing for fluid and natural communication. This approach not only enhances accessibility for individuals with hearing or speech challenges but also creates an inclusive environment where all participants can engage and collaborate effortlessly. By addressing the communication barriers faced in digital meetings, this technology has the potential to revolutionize virtual interactions, making them more equitable and universally accessible for diverse users.