In a testament to the power of everyday inspiration, Priyanjali Gupta, a third-year computer science student specializing in data science at Vellore Institute of Technology, Tamil Nadu, has developed an AI model that can instantly translate American Sign Language (ASL) into English.
Gupta’s motivation was refreshingly simple: her mother’s straightforward request that she “do something now that she’s studying engineering”—a sentiment echoed by countless Indian mothers eager to see their children put their education into action.
Priyanjali’s model uses advanced machine learning algorithms to analyze ASL gestures and convert them into English text in real time. This innovation has the potential to revolutionize communication for the deaf and hard-of-hearing community, as it bridges the gap between sign language users and those who do not understand it.
Her project has been praised for its practical approach and commitment to accessibility. “I just wanted to make something that helps people,” Gupta said, downplaying the idea of having a grand source of inspiration.
This AI-driven tool could transform the way sign language is integrated into daily interactions, making technology more inclusive and fostering better understanding between communities.
