This project is Word Level Sign Language translator that recognizes words through gestures. We use Posenets to extract key points of the users and then normalize them and pass these keypoints to an LSTM model that is stateless.
In addition to this we try other models and configurations and compare the results.
We create a pipeline that takes in a video and outputs a sentence and deploy it as a Flask API.
