There are 1 repository under asl-recognizer topic.
Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+
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!
ASL gesture recognition from the webcam using OpenCV & CNN
A simple app that analyses and recognises the alphabet in sign language using machine learning
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
There are many applications where hand gesture can be used for interaction with systems like videogames, controlling UAV’s, medical equipment’s, etc. These hand gestures can also be used by handicapped people to interact with the systems. The main focus of this work is to create a vision based system to identify sign language gestures from real-time image capturing. The reason for choosing a system based on vision relates to the fact that it provides a simpler and more intuitive way of communication between a human and a computer. Our project has developed 3 modules that involve 49 different gestures overall, which can be predicted.
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.
American Sign Language Alphabet recognition with Deep Learning's CNN architecture
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.
Repo for storing files for the graduation project. It holds code for the CV and NLP Model
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
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.
A simple for web app for enabling people to communicate with deaf and dumb people.
Sign Language Alphabet Recognition System that automatically detects American Sign Language and convert gestures from live webcam into text and speech.
My projects from Udacity's Artificial Intelligence Nanodegree
🤘 This is my WWDC 2019 Playground submission ∙ (early 2019)
Bangla Sign Language Interpreter using CNN
Breaking Barriers: A CNN-Based ASL Classification System!
A model for recognizing the ASL Alphabets. Simple Jupyter notebook with a Kaggle Dataset!
Submission by Team Debuggerz for Hacktrix 2.0
American Sign Language Classification Model
This is one of those projects i worked hard to understand and replicate with the dataset I had. Also, this is my first project repo!!!!. It is kind of a late submission (completed 2 weeks ago) .
IntelliGest is a Smart Home Assistant device that utilizes machine learning and computer vision to detect ASL for Deaf Individuals
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.
ASL Word Recognizer. Streamlit App where given a video of a person doing a sign, use an Inception I3D model to predict the word shown in the video. Hosted on Streamlit and AWS.
Snapchat Lens used to transcript American Sign Language
A neural network for recognizing American Sign Language (ASL) alphabet gestures. This project uses computer vision techniques to identify hand signs and predict corresponding alphabet letters.
American Sign Language (ASL) Detection using CNN
Azure Sign Language Recognizer using Azure Custom Vision and ASL Dataset from Kaggle
NVIDIA DLI "딥러닝의 기초" 워크숍 레포지토리
American Sign Language prediction in real time using OpenCV. A certain GUI is also built using Tkinter which can be seen in Sign Language Reader.py file. This project also has the feature to speak the generated text using API for text to speech conversion