The project aims to empower non-verbal individuals to host and actively participate in Google Meet sessions by translating their hand gestures or sign language into spoken or written words. This system will employ advanced gesture recognition technology combined with text-to-speech (TTS) engines to provide real-time communication. The gesture recognition component will use computer vision and machine learning to accurately interpret gestures, which will then be converted into speech and displayed in the Google Meet chatbox.
Seamlessly integrated with Google Meet, the system will feature a user-friendly interface allowing non-verbal hosts to control and customize their communication settings easily. The project will involve extensive testing to ensure accuracy, minimize latency, and enhance the user experience, making virtual meetings more inclusive and enabling non-verbal individuals to express their thoughts and ideas effectively.
