Indian Sign language Recognition using OpenCV

We help the deaf and the dumb to communicate with normal people using hand gesture to speech conversion. In this code we use depth maps from the kinect camera and techniques like convex hull + contour mapping to recognise 5 hand signs

A helpful application that uses your camera to turn sign language into written words, making communication easier for Deaf and Hard of Hearing people.

Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.

communication application to make Complete conversation with deaf people

Dataset + convolutional neural network for recognizing Italian Sign Language (LIS) fingerspelling gestures

Sign Language Alphabet Recognition System that automatically detects American Sign Language and convert gestures from live webcam into text and speech.

Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.

Hand sign recognition(SVM and Computer Vision) based game controller.

In this project, I built a system that can recognize words communicated using the American Sign Language (ASL). I was provided a preprocessed dataset of tracked hand and nose positions extracted from video. My goal was to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.

Logiciel de traduction en temps réel de la langue des signes

Make sentences with Turkish Sign Language Alphabet and make it talk using Python, openCV and tensorflow. (CNN classifier)

Sign Language Recognition system with HWGAT model

This is a Sign Language Recognition System based on YoloV5.

Simple real time Sign Language recogniser using Python, OpenCV and tensorflow/keras for training model (CNN)

Marathi-Sign-Language-Detection is a vision-language model fine-tuned from google/siglip2-base-patch16-224 for multi-class image classification. It is trained to recognize Marathi sign language hand gestures and map them to corresponding Devanagari characters using the SiglipForImageClassification architecture.

𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐒𝐢𝐠𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐨𝐫 | A web and mobile app that bridges communication gaps for the deaf and hard-of-hearing community by translating English and Arabic sign language into real-time text and speech, and converting spoken words into text during video calls.