Realtime Sign Language Detection and Recognition using Mediapipe.
It aims to detect and recognize sign language actions through the key points of hands. We captured the key points using Mediapipe Library and saved them in an array and trained the model on it. We deployed our project as a Web application using Flask.
Technologies- Python, OpenCV, Mediapipe, Tensorflow, Flask.
This project was done in Group as a Project Evaluation for CDAC e-DAI Course.