Sign-Language and Sign-Language-Recognition
These are competitors—both implement CNN-based hand gesture classification for sign language, differing primarily in scope (full ASL gestures vs. finger spelling) and maturity, so a user would select one based on their specific recognition task rather than combining them.
About Sign-Language
EvilPort2/Sign-Language
A very simple CNN project to recognize gestures made in American Sign Language
This project helps people translate American Sign Language (ASL) gestures into text in real-time. By feeding live video of hand gestures into a computer, it can recognize and output the corresponding ASL alphabet letters or numbers. It's designed for someone interested in exploring basic sign language recognition or developing simple interactive communication tools.
About Sign-Language-Recognition
CodingSamrat/Sign-Language-Recognition
A Machine Learning model that will be able to classify the various hand gestures used for finger spelling in sign language
This project helps bridge communication gaps by recognizing hand gestures in real-time, specifically finger spelling. You can input live video of hand signs, and the system outputs the corresponding text or speech. This tool is designed for anyone needing to interpret sign language or custom hand gestures.
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