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American Sign Language Detection Model
Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.
This project aims to develop a cutting-edge system that detects sign language from images and converts it into audio, and vice versa.
A YOLOv5 model developed from scratch to convey the signs to a blind perosn and can generate the text out from the signs made by mute person. It is a prototype to showcase the possibility on developing a interpreter for mute and blind people.
In this project, we have created a model to detect sign language using mediapipe holistic keypoints and LSTM layered model.
This project seeks to create a robust platform capable of real-time interpretation of sign language gestures into text.