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This project features a custom model that recognizes English language alphabets through hand gestures using YOLOv8 framework. The model leverages YOLO's robust hand-tracking capabilities to accurately identify and classify gestures corresponding to individual alphabets. Ideal for applications in sign language interpretations.
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This project features a custom model that recognizes English language alphabets through hand gestures using Google's MediaPipe framework. The model leverages MediaPipe's robust hand-tracking capabilities to accurately identify and classify gestures corresponding to individual alphabets. Ideal for applications in sign language interpretations.
Azamsaif47/English-Sign-Language-Recognition-Using-YOLOv8
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This project features a custom model that recognizes English language alphabets through hand gestures using Google's MediaPipe framework. The model leverages MediaPipe's robust hand-tracking capabilities to accurately identify and classify gestures corresponding to individual alphabets. Ideal for applications in sign language interpretations.
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