• Madhumita Menon
• Mayur Shinde
• Avinash Tripathy
• Gaurav Tawde

Millions of people are deaf in India, let alone the entire world. The language that deaf people use to communicate with other people is quite uncommon and thus, the deaf community faces a lot of difficulty in communicating simple messages. The idea of educating the common masses about sign language has largely been futile and costly to begin with. Furthermore, it is quite a difficult task to enforce or create the awareness to learn sign language since the chances of a common person having an interaction with a deaf person is quite low. Hence, to solve this huge gap of communication that exists, we propose a sign language to text converter using LSTM based neural network. We focused largely on creating an ISL training database and attempting to teach certain words and phrases and recorded an accuracy of 94.22%.

Computer Vision, Mediapipe Holistic, Tensorflow, Keras, Long Short-Term Memory, Indian Sign Language.

"ISL Translator for Caregivers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.e472-e476, March-2022, Available :http://www.jetir.org/papers/JETIR2203461.pdf

"ISL Translator for Caregivers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppe472-e476, March-2022, Available at : http://www.jetir.org/papers/JETIR2203461.pdf