This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.

Lessons and projects I’ve learned from Paul McWhorter’s AI and OpenCV tutorials, with additional improvements and insights.

Sign 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.

Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.

Hebrew sign language real time recognition using CNN, Keras & OpenCV.

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).

Code for the demo of the VGT-NL dictionary at Dag Van De Wetenschap 2023 and other events.

packages needed to work this project are as follows :- OpenCV , Tensorflow , Pyenchant , Mediapipe , keras , numpy , gtts , tkinter

Sign Language detection is done using Tensorflow API and OpenCV.

We have trained CNN (Convolutional Neural Network) algorithm to predict sign language. There are also pretrained models which also used in this model.

Real-time Chichewa Sign Language recognition system using MediaPipe and rule-based logic.

Translate Sign Language to Speech and back!

SignWave is a real‑time sign language alphabet recognition system that uses MediaPipe hand keypoints and an LSTM deep learning model to accurately classify gestures via webcam—no facial tracking or wearables required.

Image Processing Using AI Neural Networks for Hand Gesture Recognition, To Translate Sign Language to Text.

A python application using CNN model to predict alphabet based on hand gestures on realtime basis

Translates sign language gestures to text using AI and webcam