American Sign Language (ASL) Detection using CNN

This repository contains a transformer-based model for real-time American Sign Language (ASL) recognition. The model leverages transformer architecture to interpret ASL gestures and utilizes the Gemini-Pro LLM API for constructing sentences from recognized ASL signs.

This repository contains my code for training and runnning a machine learning model, for classifying images of the American Sign Language (ASL) alphabet. The model was architected and trained using a Google's TensorFlow library.

IntelliGest is a Smart Home Assistant device that utilizes machine learning and computer vision to detect ASL for Deaf Individuals

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.

EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.

Deep Learning and Sign Language Interpretation

Using Python, OpenCV and TensorFlow to create an unsupervised Real-Time Object Detection Model to identify and translate American Sign Language (ASL) signs in real-time.

Socket connection to ASL Alphabet recognition model based in YOLO architecture

A neural network for recognizing American Sign Language (ASL) alphabet gestures. This project uses computer vision techniques to identify hand signs and predict corresponding alphabet letters.

A simple ASL detector

This is one of those projects i worked hard to understand and replicate with the dataset I had. Also, this is my first project repo!!!!. It is kind of a late submission (completed 2 weeks ago) .

sign language recognizer is use to recognize the American sign language and display the letter corresponding to hands sign

detect sign language using neural networks

Repo for storing files for the graduation project. It holds code for the CV and NLP Model

Breaking Barriers: A CNN-Based ASL Classification System!

A model for recognizing the ASL Alphabets. Simple Jupyter notebook with a Kaggle Dataset!