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.
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May 9, 2021 - JavaScript
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!
Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
ASL gesture recognition from the webcam using OpenCV & CNN
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
A simple for web app for enabling people to communicate with deaf and dumb people.
Repo for storing files for the graduation project. It holds code for the CV and NLP Model
Bangla Sign Language Interpreter using CNN
NVIDIA DLI "딥러닝의 기초" 워크숍 레포지토리
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.
American Sign Language Alphabet recognition with Deep Learning's CNN architecture
Portable sign language (ASL) recognition device that utilizes real-time and efficient programming to help mute and deaf by establishing two-way communication channel with people who have never studied sign language.
A Computer Vision based project that uses CNN to translate American Sign Language(ASL) to text and speech
detect sign language using neural networks
My projects from Udacity's Artificial Intelligence Nanodegree
American Sign Language Recognizer Implementation. Project for the AI Nanodegree program
Object Detection Model for ASL Alphabet
Submission by Team Debuggerz for Hacktrix 2.0
The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.
A pi setup to recognize ASL signs using a pre-trained CNN model and speak it out using a suitable TTS engine with adaptive settings.
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