Priyanjali Gupta, a third-year student pursuing Computer Science at Vellore Institute of Technology in Tamil Nadu, has made a remarkable achievement in the field of Artificial Intelligence (AI). She has developed an AI model that can instantly translate American Sign Language (ASL) into English.
The significance of this development cannot be overstated, as it can help bridge the communication gap between hearing-impaired and non-hearing-impaired individuals. The AI model is capable of understanding and interpreting the signs used in ASL. Plus it also converts them into English, thus enabling real-time communication.
How the AI model actually works
While explaining how the model works, she wrote, “The dataset is made manually by running the Image Collection Python file. It collects images from your webcam for all the mentioned below signs in the American Sign Language – Hello, I love you, Thank you, Please, Yes, and No”.
“To build a deep-learning model from scratch just for sign detection is a really hard problem, but not impossible. Currently, I’m just an amateur student but I am learning. I believe sooner or later our own open-source community which is much more experienced and learned than me will find a solution. And maybe we can have deep-learning models solely for sign languages”,Priyanjali added.
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A true inspiration for many
It is noteworthy that her efforts are a commendable contribution toward making the world more inclusive and accessible to everyone. Her project has the potential to benefit many people and revolutionize the way we communicate with each other.
Priyanjali’s work is a source of inspiration for students and professionals alike, demonstrating the vast possibilities that AI can bring to society. It is a definite example of how technology can be used to solve real-world problems and create a positive impact on people’s lives.
What do you think of the AI model? Let us know in the comments section below!
