The Sign Language Interpreter leverages Mediapipe and a hybrid Convolutional Neural Network (CNN) to translate sign language gestures into text. This project is designed to help people who communicate using sign language interact more seamlessly with those who do not understand it.

A Deep Learning Project about Sign Language Regconigtion

Collect OpenPose frame files using the DGS-Korpus OpenPose wrapper format used by the Public DGS Corpus.

Sign language detection and recognition project deployed on streamlit to work on Live video

Turkish Sign Language Dictionary is an application designed to strengthen the communication of hearing or speech impaired individuals and help them learn sign language. However, the application also appeals to a wide range of users, targeting anyone who wants to learn Turkish Sign Language.

Sign Language Interpreter | Fall 2018

WeSpeak is primarily an Indian Sign Language interpretation tool that uses machine learning and image processing to translate sign language in real time.

The signbank of Department of Linguistics at Stockholm university.

Basic sign live language translator using deep learning.

Project Based Learning App Code For Sign To Text Translation System Using Arabic Sign Language

🤟 Create single word GIFs in American Sign Language (ASL).

Sign Language Indonesia pakai BISINDO

Signs Classification Live with Web Camera and MediaPipe library

Computational Human Behavior Lab - Hana & Michael

streamlit based web-app for teaching sign language through real-time hand gesture recognition.

Imperial College London EEE Students 2nd Year Project Site

I have created a tool using which Spoken Language (here Hindi) can be converted into Indian Sign Language. It takes in live speech or audio recording as input and then displays GIFs and images to relay the speech, using Natural Language Processing and Machine Learning Algorithms.