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.

Creating an Indian Sign Language detection model using YOLOv5 involves training a model to recognize and locate different signs in images or videos.

Currently working on these project. It will utilize machine learning to interpret sign language gestures from image or video inputs, facilitating communication for individuals who are deaf.

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.

Machine Learning Based Detection Of ASL(American Sign Language) Gestures

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.

Realtime Sign Language Application that detects signs based on object detection model.

Aplicación que permite traducir lengua de señas a audio y texto.

A sign language detection system using CNN and Mediapipe integrated with Flask

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Repository for Sign Language Action Detection using LSTM Deep Neural Network. Achieved an accuracy of 90%. Trained and test in real time.

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Sign language detection uses cameras and machine learning to recognize gestures, displaying text and converting it to speech, enhancing communication for the deaf and hard-of-hearing.

Sign Language Detection using Hog SVM from Scratch

Programa en python para la detección de las señas del alfabeto en lenguaje de señas.

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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.

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.

A realtime translator app for sign language using Mediapipe Hands solutions and LSTM TFLite model.

Shady Elkholy's graduation project, Arab Open University, Computer science

This rapo include Turkish sign language dataset

we can detect alphabets,numbers and some greetings

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Sign Language Detection using Object Detection.

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Sign language detection

Language used :- Python , Tools :- Scikit-learn, OpenCV , mediapipe.