Engineering student Priyanjali Gupta wanted to bridge the gap between real-time communication and sign-language.
Priyanjali noticed that with real-time communication, software companies keep their platforms updated with identifying the person speaking. However, a person using sign language doesn’t have the same recognition acting as a barrier to them which she wished to them.
The engineering student from Tamil Nadu’s Vellore Institute of Technology (VIT) came up with an AI model which translates English into real-time and shared it on LinkedIn. Her mother was an encouraging factor in this creation who urged her to try something different. In fact, Gupta said: “It made me contemplate what I could do with my knowledge and skillset. The idea of inclusive technology struck me.”
Her creation turns sign language signals into English text by analyzing body motions including arms and fingers. This provides people with speech or hearing impairments a new method of easier communication. So far, this model can work on single frames but cannot detect videos. The translation of sign language to other languages still has a lot of work that needs to be done. However, Gupta’s creation is a great starting point.
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What do you think of this student’s creation?
