This is a Sign Language Recogniser system that is based on the RNN machine learning model, deployed on RaspberryPi 4.The entire project is coded in Pytho programming language.It recognises sign language words based on Indian Sign Language.The code includes recognising the sign language by taking input from camera and displaying text on LCD screen.

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

This repository contains code for detecting sign language gestures using YOLOv5. It includes data collection, model training, and detection scripts.

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.

This repository implements a sign language detection system using MediaPipe from totally scratch. Manually collected and annotated data. Leveraging MediaPipe's hand landmark detection, the system processes video frames to classify and translate sign language gestures in real-time.

Sign Language Recognition system with HWGAT model

An Augmented Reality application to detect and translate American Sign Langauge Live.

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

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

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

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

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