Download the Free American Sign Language Courses & Videos from StartASL.com

The artificial intelligence application for recognizing American Sign Language signs and 'translating' them into English. The underlying technique is Hidden Markov Model. This project is a part of Artificial Intelligence Nanodegree @udacity.

A Deep Learning Model to Classify ASL Alphabets (A-Z, except J & Z) and ASL Digits (0-9)

Developed a program that lets users search dictionaries of American Sign Language (ASL), to look up the meaning of unknown signs using Dynamic Time Warping with custom features.

The overall goal of this project is to build a word recognizer for American Sign Language video sequences, demonstrating the power of probabilistic models.

An Android Application that uses gesture recognition to understand alphabets of american sign language

CSE 572 Data Mining Group 14

Convolution Neural Network to perform classification of various Fingerspelling gestures in American Sign Language

hidden markov models to recognize visual gestures in american sign language

HackWCU

American Sign Language translation to text, using a Machine Learning Model. (🏆 3rd Place at HackHershey)

American Sign Language to Speech Converter

communication application to make Complete conversation with deaf people

Proposed a solution to the problem of recognizing the American Sign Language Hand recognition using the Deep Learning method and compare how accurate our solution is when performing data augmentation methods on the images in our dataset.

Deploy deep learning technologies in computer vision to bridge the communication gap between the deaf and everyone else.