Priyanjali Gupta a Collaborator: Empowering Communication through AI and Sign Language Recognition

The AI-powered solution developed by Priyanjali Gupta is a real-time American Sign Language (ASL) to English translation system. Using the Tensorflow object detection API and transfer learning from a pre-trained model called ssdmobilenet, the solution is able to accurately recognise and interpret ASL signs. The dataset for training the model was manually collected by running an Image Collection Python file that captures images from a webcam for specific ASL signs such as "Hello," "I Love You," "Thank you," "Please," "Yes," and "No."

The system demonstrates impressive capabilities in a demo video shared by Priyanjali Gupta on LinkedIn, showcasing its ability to instantly translate ASL signs into English text. The innovative idea behind this solution has garnered significant attention, with nearly 60,000 likes on the platform.

Priyanjali Gupta was inspired to develop this solution after a thought-provoking taunt from her mother. It sparked her contemplation on leveraging her knowledge and skills. Through conversations with virtual assistants like Alexa, the concept of inclusive technology resonated with her. Priyanjali acknowledges the complexity of creating a deep neural network for sign detection but remains dedicated to learning and further improving her solution.

She believes that normalising sign languages and other modes of communication for individuals with disabilities is crucial in bridging the communication gap. While many researchers and developers are working on similar technologies, Priyanjali Gupta's ASL to English translation system represents a significant step towards more seamless and effective communication for the hearing-impaired community.

More information available: https://analyticsdrift.com/indian-engineering-student-develops-ai-model-...
https://www.youtube.com/watch?v=E7X9CWn_ElQ