signlanguagerecognition
There are 2 repositories under signlanguagerecognition topic.
albanjoseph / Signapse
Signapse is an open source software tool for helping everyday people learn sign language for free!
Language:C++ 36- Language:Python 7
Pranavk-official / Signfy
Signfy is a Video Chat app that incorporates sign language translation to bridge the communication gap between the deaf and hearing communities.
Language:HTML 6JanBinkowski / SignLanguageRecognition
Bachelor Thesis at the Wroclaw University of Science and Technology.
Language:Jupyter Notebook 5itsvaibhavmishra / SLDP
This web-based app detects and interprets sign languages into English words in real-time in order to help speech-impaired individuals communicate with others more easily.
Language:JavaScript 4Tekraj15 / RealTimeSignLanguageRecognition
Applied SSD integrated with MobileNet model for object (sign gestures) detection and recognition and the model is trained using Transfer Learning, with the aim to develop a web app for real-time ASL recognition from user input & then to generate text in English.
Language:Jupyter Notebook 4LucasConde22 / Mudeitor
Aplicación que permite traducir lengua de señas a audio y texto.
Language:CSS 3Phat-pham99 / Vietnamese_sign_language_recognition_using_MHI_and_CNN
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Language:Python 3shukur-alom / sign-language-detection
it able to detect ten type USA sign language. which is Okay, Peace, Thumbs up, Thumbs down, Call me, Stop, I Love You, Hello, No, Smile.
Language:PureBasic 3yashchaudhari008 / aslr-webapp
American Sign Language Recognition
Language:JavaScript 3Srinivas-Natarajan / Gesture-Recognition-for-Sign-Language-Translation
This program will use gesture detection to help identify common ASL gestures as well as alphabets, translating them into sentences.
Language:Jupyter Notebook 2bhanuprathap2000 / sign-language-recognition
This repo contains the code for sign-language-recognition as part of our final year project.
Language:Jupyter Notebook 1its-Kumar / signlang_project
Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.
Language:Jupyter Notebook 1JamorMoussa / SLT-GCN-PFA
Sign Language Translator using Graph Convolution Networks (GCN)
Language:Python 1Kartik02 / Sign-language-to-text-and-voice-conversion-using-opencv-and-python
packages needed to work this project are as follows :- OpenCV , Tensorflow , Pyenchant , Mediapipe , keras , numpy , gtts , tkinter
Language:Python 1krishna-chandel / Gesture-based-HCI-ML-Project
Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.
Language:Python 1LearnSign / learnSign
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).
Language:Python 1Raju1758 / Sign_languages_recognition
Sign_languagues_recognition
Language:Jupyter Notebook 1ShadyElkholy / Sign-language-gesture-recognition
Shady Elkholy's graduation project, Arab Open University, Computer science
Language:Jupyter Notebook 1varisha-025 / GestureGo
GestureGo facilitates bidirectional communication between people with hearing or speech impairments and other people which in turn will lessen the communication gap between them and allowing everyone to understand and be understood.
Language:CSS 1AbdulMueez456 / handlytics
Pakistan Sign Language Recognition for Word and Sentence Level Signings
Language:Jupyter Notebook 0Adlin02 / Sign-language-classification
Task 1: Sign Language Classification using machine learning at SYNC INTERN'S.
Language:Jupyter Notebook 0Briankim254 / Kenyan-signLangiage-Classification
A model to recognize ten different everyday KSL signs present in the images, using machine learning or deep learning algorithms.This dataset was collected specifically for a Zindi competition by Task Mate. Almost all of the hands are hands of people of color, in an effort to address bias in sign language datasets.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
- Language:Python 0
Abir0810 / Sign_language_prediction_using_deep_learning_model
We have trained CNN (Convolutional Neural Network) algorithm to predict sign language. There are also pretrained models which also used in this model.
Language:PythonBharathwajManoharan / MedTourEasy_Internship
ASL Letter Classification: Using a CNN to classify American Sign Language (ASL) letter images with high accuracy.
Language:Jupyter NotebookIndhar01 / IBM-Real-Time-Communication-System-Project
Real-Time Communication System Powered by AI for Specially Abled
Language:Jupyter NotebookLakshay-a / Sign-language-detection
This project is aimed at detecting American Sign Language (ASL) alphabets in real-time using computer vision. The system utilizes OpenCV for image processing, MediaPipe for hand detection, and a Random Forest classifier from scikit-learn for alphabet recognition.
Language:Jupyter Notebookleenaali1114 / Sign-Language-Detection
Sign Language detection is done using Tensorflow API and OpenCV.
Language:PythonSign language gesture recognition is done in two ways. Alphabets are detected from sign language and words are formed using this. The words thus formed is then converted to speech. Another method includes recognizing gestures which include words.
Language:Pythonm-decoster / VGT-SL-Dictionary
Code for the demo of the VGT-NL dictionary at Dag Van De Wetenschap 2023 and other events.
Language:Pythonmukund0502 / sign_recognition_yolo-v8
Using yolo-v8 to train on custom dataset for sign language recognition
Language:Jupyter NotebookPerumallaSivagopi / Sign-Language-Recognition
This project focused on developing a model for recognizing hand gestures in sign language using deep learning. I collected Sign MNIST dataset and trains a convolutional neural network (CNN) model to classify sign language gestures.
Language:Jupyter Notebookuser1069himanshu / Anushruti-sign-language
"Sign Language Recognition" is a project that employs Long Short-Term Memory (LSTM) neural networks to accurately recognize and interpret sign language gestures. The project encompasses the creation of a robust dataset containing over 50 words in sign language, providing a diverse range of gestures for training and testing the model.
Language:Jupyter Notebookvitheshshetty00 / Sanket
Sanket is a real-time sign language recognition application. It's designed to recognize a variety of sign language gestures, making communication easier for those who use sign language.
Language:Jupyter Notebook
