RiaanSadiq/Sign-Language-Detection
Sign Language Detection using CNN and Flask. This project uses Convolutional Neural Networks (CNN) to detect and classify sign language gestures. It includes a Flask web application for real-time detection. Simply use your webcam to translates gestures into text.
This project helps bridge communication gaps by instantly translating sign language gestures into text using a webcam. Simply point your camera at a sign language user, and the application will display the corresponding words. It's designed for anyone who needs real-time interpretation of American Sign Language (ASL) gestures, such as educators, customer service professionals, or family members.
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Use this if you need to understand sign language gestures in real-time and want a visual, text-based translation.
Not ideal if you need to translate complex conversations, detect highly nuanced or non-ASL gestures, or require translation without a webcam.
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Jun 26, 2024
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