ASL number recognition web application
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Updated
May 18, 2021 - JavaScript
ASL number recognition web application
Deep Learning and Sign Language Interpretation
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.
ASL Sign Recongition using SVM, Decision Trees and Neural Networks
Image Classification of American Sign Language
ASL Education System implemented through the use of Leap Motion Device
A simple app that analyses and recognises the alphabet in sign language using machine learning
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.
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.
American Sign Language Classification Model
A demo with basic CNN for image recognition
sign language recognizer is use to recognize the American sign language and display the letter corresponding to hands sign
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.
Learn the American Manual Alphabet (AMA) interactively!
A model for recognizing the ASL Alphabets. Simple Jupyter notebook with a Kaggle Dataset!
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) .
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