Signapse is an open source software tool for helping everyday people learn sign language for free!
A real-time American Sign Language (ASL) detection system using computer vision and deep learning. This project uses a combination of OpenCV, MediaPipe, and TensorFlow to detect and classify ASL hand signs from camera input. The system can recognize a wide range of ASL characters, and can be used to facilitate communication for sign language users.
Hand Gesture Recognition for Sign language Detection deployed along a web application that recognizes through which one can translate hand gestures into commands or text using a webcam.
Creating an Indian Sign Language detection model using YOLOv5 involves training a model to recognize and locate different signs in images or videos.
Sign Language Recognition System is an AI-powered application that enables real-time sign language recognition using MediaPipe and an MLP model. It captures hand gestures, extracts landmark features, and predicts sign language letters dynamically. The project also explores MobileNetV2 and aims to expand into Text-to-Sign Language generation.
Signfy is a Video Chat app that incorporates sign language translation to bridge the communication gap between the deaf and hearing communities.
Awesome-Sign-Language-Processing-SLP The most comprehensive, up-to-date collection of Sign-Language Processing resources on the internet.
Realtime Sign Language Application that detects signs based on object detection model.
Aplicación que permite traducir lengua de señas a audio y texto.
Sign Language to Text Converter is a Python-based application that recognizes hand gestures using computer vision and converts them into text in real time. It leverages OpenCV, MediaPipe, and a trained ML model to assist communication for speech-impaired users.
Shady Elkholy's graduation project, Arab Open University, Computer science
This rapo include Turkish sign language dataset
Mobile Development team will handle the wireframing and designing UI/UX and implement it to the application. The application it self will send a request in the form of an object that is captured and then it will be sent to be processed in the model made by the ML team and deployed by the CC team.
A real-time American Sign Language (ASL) detection system using computer vision and machine learning. Built with Python, MediaPipe, and React.
This repository is part of the "learnSign" project that is under development and will be submitted for the award of Degree of Bachelor of Technology in Computer Science and Engineering from Rajasthan Technical University, Kota (India).
A realtime translator app for sign language using Mediapipe Hands solutions and LSTM TFLite model.
Final Year Major Project - Real Time Sign Language Translator
This project is designed for American Sign Language (ASL) detection using OpenCV and MediaPipe Hand module.
A deep learning project for recognizing American Sign Language hand gestures (A–Z, 0–9) using CNN and image preprocessing techniques.
An Indian Sign Language Interpreter that converts input sign to text.
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