sdessai31's Stars
cloud-annotations/cloud-annotations
š A fast, easy and collaborative open source image annotation tool for teams and individuals.
kinivi/hand-gesture-recognition-mediapipe
This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
theAIGuysCode/yolo-v3
Yolo v3 object detection implemented with Tensorflow 2.0.
Karthikeyu/Indian-sign-language-recognition
This repository contains python implementation for recognizing Indian sign language (ISL) gestures for deaf and dumb people.
LeeYongchao/Sign-language-recognition-with-RNN-and-Mediapipe
thanhsang298/Viet-Nam-Sign-Language-Recognition-using-Hand-MediaPipe-framework-and-LSTM-model
arpita739/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipeās open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
VedantMistry13/American-Sign-Language-Recognition-using-Deep-Neural-Network
Application that recognizes American Sign Language (ASL) alphabets using a deep neural network that was trained using Transfer Learning approach.
Gunnika/Sign_Language_Detector-PyTorch
Recognition of hand gestures in 3D space using a single low resolution camera for converting American Sign Language into any spoken language.
nikhilgawai/SIGN-LANGUAGE-DETECTION-MODEL
simonefinelli/ASL-Real-time-Recognition
Recognize the American Sign Language in a video stream and translate it to American word by word.
Nam-H-Pham/American-Sign-Language-Recognition
Recognise and Learn American Sign Language
kartik2112/Silatra
This is the server-side of the SiLaTra System. This system is targetted towards the hearing and speech impaired community that use sign language for communicating with each other. But when they communicate with other people outside this community, there is a communication gap. This system is an attempt towards bridging this gap.
nkm90/HearMeWhenYouCanNotSeeMe
Sign language recognition, using multihand tracking solution from Mediapipe, along with Speech recognition and Text to Speech to deliver an Android App for deaf mute people
datamagic2020/sign-language-detection
gowthambalachandhiran/CricketShotIdentification
AmanDesai10/Indian-Sign-Language-Recognition
Developed a gesture recognition system for Indian Sign Language (ISL) using Convolutional Neural Networks. Designed to bridge communication gaps between the hearing impaired and normal individuals, facilitating effective interaction.
MohitKaushik1806/Real-time-sign-language-recognition
The proposed work aims at converting american sign language gestures into English that can be understood by everyone in real time.
31avantika/Real-time-Sign-Language-Interpretation-System
Deaf and mute people use sign language to communicate. Unlike acoustically conveyed sound patterns, sign language uses hand gestures, facial expressions, body language and manual communication to convey thoughts. Due to the considerable time required in learning Sign Language, people find it difficult to communicate with specially-abled people, creating a communication gap. Hence conventionally, people face problems in recognizing sign language. Moreover, different countries have their respective form of sign gesture communication which results in non-uniformity. The Indian Sign Language used in India is largely different from the American Sign Language used in the US, mostly because of the difference in culture, geographical and historical context. Somewhere between 138 and 300 different types of sign language are currently being used throughout the world. Sign language structure varies spatially and temporally. We have identified these as a major barrier in communicating with a significant part of society. And hence, we propose to design a system that recognizes different signs and conveys the information to people. The component of any sign language consists of hand shape, motion and place of articulation. When combined, these three components (together with palm orientation) uniquely determine the meaning of the manual sign. For sign language identification, sensor-based and vision-based methods are used. In vision-based gesture recognition technology, a camera reads the movements of the human body, typically hand movements and uses these gestures to interpret sign language; whereas in sensor-based methods, real-time hand and finger movements can be monitored using the leap motion sensor. We aim at developing a scalable project where we will be considering different hand gestures to recognize the letters and words. We plan to use different deep learning models to predict the sign. This may be developed as a desktop or mobile application to enable specially-abled people to communicate easily and effectively with others. However, this project can later be extended to capture the whole vocabulary of ASL (American Sign Language) through manual and non-manual signs.
PranavBansal04/Indian-Sign-Language-Recognition
Indian Sign Language Recognition using Mediapipe and Machine Learning
kairess/sign-language-recognition
Sign language recognition using MediaPipe and machine learning.
Srinivas-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.
akshat06/SignLanguageDetectionTFOD
Sign Language Detection using TFOD
Chitransh13/hand-gesture-recognition
american sign language recognition
harish-udhay/Sign-language-recognition
This project aims to reduce the time and space complexity of existing sign language recognigiton models using Mediapipe and LSTM library
iamgautamy/Sign-Number-Recognition-using-Mediapipe-Improved-
Sign-Number-Recognition-using-Mediapipe(Improved) is a improved and more accurate version of my previous implementation. This project uses mediapipe ,hand keypoint tracking package to accurately predict the sign numbers
jeeteshgour1000/Indian-Sign-Language-recognition-system.
SanjitSG/50-days-50-Projects
HTML, CSS, JavaScript mini projects
visheshsinha/SignLanguageDetection_Prototype
Sign Language Recognition, which makes use of Tensorflow object detection API - Can be used to detect with bounding boxes, objects in image or video using a pretrained model.
wushennn/ignite-team6
Sign Language recognition using TensorFlow and Mediapipe.