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

Documentation for LearnASL project.

Ecuadorian sign language translator with deep learning; this is one of the projects that I am most proud of.

Sign Language detection is done using Tensorflow API and OpenCV.

"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.

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.

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.

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

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.

ASL Letter Classification: Using a CNN to classify American Sign Language (ASL) letter images with high accuracy.

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.

Basic sign live language translator using deep learning.

Pakistan Sign Language Recognition for Word and Sentence Level Signings

Task 1: Sign Language Classification using machine learning at SYNC INTERN'S.

Sign Language to Speech and vice-versa converter

Using yolo-v8 to train on custom dataset for sign language recognition