Abstract
Abstract: Sign language is the efficacious medium that connects silent people and the world, and there are many significant existing sign languages across the globe. A lot of research is done to compromise the borders of difficulty in the communication between silent and normal person and most of them are based on ASL (American Sign Language). The aspiration for bridging the gap between silent people and normal people in terms of communication using ISL (Indian Sign Language) led to unfold this project. It functions as a two-way sign translator that is the conversion of sign to text and contrariwise. It recognizes various poses as well as gestures and returns appropriate results. The designed translator predicts the sign with an accuracy of 88 percent in real-time and was trained to recognize 15 actions using LSTM and MediaPipe. The text to sign translator works up to paragraph level using NLP.
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