MonzerDev/Real-Time-Sign-Language-Recognition
A real-time sign language recognition system utilizing MediaPipe and CNNs to classify static gestures (A-Z, 1-9). Includes custom datasets, preprocessing, training, and evaluation scripts, designed to enhance accessibility for the deaf and hard-of-hearing communities.
This system interprets static hand gestures captured via a webcam, converting them into corresponding sign language letters (A-Z) or numbers (1-9). It takes live video of a hand gesture as input and displays the recognized letter or number in real-time. This tool is for individuals who communicate using sign language and need real-time translation for general communication or educational purposes.
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Use this if you need to translate static sign language alphabet (A-Z) or numbers (1-9) into text instantly from a live video feed.
Not ideal if you need to interpret dynamic sign language phrases, complex grammatical structures, or signs beyond the basic alphabet and numbers.
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Language
Python
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Last pushed
Feb 02, 2025
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