Inspiration
Having a deaf mentor and seeing the inefficiencies with the current mode of communication with them, we used technology to shorten this gap between the hearing impaired and hearing
What it does:
T-meet converts sign language into text and audio and also speech into text. It can be integrated into any video chat, telehealth, language learning platform or translation software to create an inclusive society.
How we built it
We used Teachable machine for training the data Python OpenCV and tensorflow for grabbing video frames and passing it through our trained model We used speech recognition for transcribing audio data into texts
Challenges we ran into
Training a substantial amount of data Working with tensorflow Manipulation of openCV for an aesthetic UI
Accomplishments that we're proud of
Working collaboratively and ensuring our tech is inclined with the problem we’re trying to solve Successfully completing the tasks
What we learned
Effective Time management, Team collaboration, OpenCV manipulation
What's next for T-Meet
We are keeping tabs on our to incorporate our software into mobile devices like facetime
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