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American Sign Language Translator using OpenCV and Machine Learning.

A simple sign language detection web app built using Next.js and Tensorflow.js. 2020 Congressional App Challenge. Winner! Developed by Mahesh Natamai and Arjun Vikram.

Signapse is an open source software tool for helping everyday people learn sign language for free!

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An English to American Sign Language translator.

A Desktop Python Application that translates American Sign Language (ASL) to English words.

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ASL to Speech translator.

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This repository contains a transformer-based model for real-time American Sign Language (ASL) recognition. The model leverages transformer architecture to interpret ASL gestures and utilizes the Gemini-Pro LLM API for constructing sentences from recognized ASL signs.

EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.

Machine learning models for translating American sign language gestures

ASL Sign Language Translator

:crystal_ball: Sign Language Translator for ASL with a gesture glove built for ECESCON9 contest

signAR is an ASL Translator and learning tool that bridges the gap between those who sign and those who don't :ok_hand:

A Computer Vision based project that uses CNN to translate American Sign Language(ASL) to text and speech

Translates American Sign Language (ASL) to text

Semantic interpretation the ARM Specification Language using symbolic execution

Repo for storing files for the graduation project. It holds code for the CV and NLP Model

Real-time ASL hand sign recognition using MediaPipe + Machine Learning + Motion Tracking (J/Z). Includes dataset collection, model training, live demo, and smart word suggestions.

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ASL Translator is a real-time hand gesture recognition system that translates American Sign Language (ASL) alphabet signs into text. Using MediaPipe's hand tracking and custom geometric pattern matching algorithms, it provides accurate letter recognition with visual feedback.

Real-time ASL fingerspelling translator using TensorFlow and MediaPipe. Classifies hand landmarks into text via a Multi-Layer Perceptron (MLP) model with 94% accuracy.

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Real-time American Sign Language (ASL) alphabet translator using AI and computer vision.

Breaking Barriers: A CNN-Based ASL Classification System!

An ASL Translator built using a Raspberry Pi!

Break the language barrier through auto-generated closed captions, derived from hand sign detection using machine learning.