🤟 Create single word GIFs in American Sign Language (ASL).

A real-time American Sign Language (ASL) detection system using computer vision and deep learning. This project uses a combination of OpenCV, MediaPipe, and TensorFlow to detect and classify ASL hand signs from camera input. The system can recognize a wide range of ASL characters, and can be used to facilitate communication for sign language users.

American Sign Language Alphabet Detection in Real Time with EfficientNetB0 in PyTorch

This project aims to develop an efficient solution for detecting signs in the form of American Sign Language (ASL) using various cutting-edge technologies. The application will leverage the capabilities of OpenCV, MediaPipe, PyTorch, Transformers, PyTTSX3 and PyQt.5

World Level American Sign Language Recognition and Translation to Spoken Language

SIGNIFY is a web-based learning tool designed to make learning American Sign Language (ASL) fingerspelling both efficient and engaging.

This repository represents an overview of our research in sign language recognition. Some of the linked repositories are private, so please contact me if there is interest in this data.

The system recognizes static gestures, converting them into corresponding letters. Recognizes static ASL gestures and converts them into corresponding letters. To obtain the data from the signer, a vision-based approach web camera is available even offline.

American Sign Language and how to sign its alphabets.

A comprehensive table of word-level video sign language datasets

A sign language recognition webapp I created with my code from the first Google Isolated Sign Language Recognition Competition on Kaggle where it scored 72/1165. The app was my final computational thinking project in 8th grade.

Detects and tracks hand movements and counts the number of fingers a user is holding up via webcam.

ASL_Learning is web app dedicated to the teaching of American Sing Language using Flash Cards

A solution to American Sign Language Detection using Deep Learning

Recognise and Learn American Sign Language

A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals

"Repository containing code and resources for ASL (American Sign Language) image classification using Convolutional Neural Networks (CNNs). Learn data preprocessing, CNN architecture, training, and evaluation for accurate ASL letter recognition."

Explore image classification using American Sign Language (ASL) dataset. Build, train, and evaluate a neural network model to recognize ASL letters. Learn data preprocessing, model creation, and understand overfitting. Part of a comprehensive learning journey into deep learning techniques.

Building a convolutional neural network to classify images of letters from American Sign Language.

The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language