Sign2Sound is dedicated to revolutionizing communication for non-verbal individuals by seamlessly translating sign language gestures into understandable speech in real-time. By bridging the gap between sign language users and those unfamiliar with it, Sign2Sound promotes inclusivity and accessibility, ultimately enriching quality of life for all.

University project using webcam and forest algorithm to recognize alphabet letters.

This project seeks to create a robust platform capable of real-time interpretation of sign language gestures into text.

An ASL (American Sign Language) alphabets tracker system for the game GestureQuest

This project focuses on recognizing Bangla Sign Language gestures in real-time and it enables users to find similarities between sign language videos

This project detects 3 actions 'hello', 'thanks' and 'I love you' leveraging media pipe for keypoints and landmark detection. LSTM model is employed for training the model and logic is provided to detect signs of the user in real-time

Una aplicación web interactiva que utiliza TensorFlow.js para reconocer letras del alfabeto mediante gestos de la mano. Entrena y guarda modelos con tu cámara web.

Implementation for American Sign Language Recognition through Deep Learning

This is a Django website that uses a CNN in the backend to classify Sign Language Alphabets and was created in 24 hours for - The Great Indian Hackathon - Microsoft (Reskill). Grabbed 2nd Prize

Application developed during the ACM-W 5th National Hackathon in 24 hours

American Sign Language Detection Model

This project recognizes sign language from 0 to 5, which uses basic structure of TensorFlow.

Sign Language Recognition System - Sign Aloud

An american sign language recognition task using CNN and machine learning algorithms

Pose-based word-level sign language recognition with BERT-styled transformer in Keras

In this repository, we aim to predict sign language gestures.

Hand Classification Live with Camera and MediaPipe

This is a demonstration of hand pose recognition implemented using a Flask backend and the Indian Sign Language Translator API. It is now hosted on an AWS instance at http://18.236.194.220:5000/