Sign-To-Speech-Conversion and Sign-Language-Translator
About Sign-To-Speech-Conversion
beingaryan/Sign-To-Speech-Conversion
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
This project helps people communicate using American Sign Language (ASL) by converting their hand gestures into spoken words in real-time. It takes live video of ASL signs as input and outputs audible speech. This tool is designed for individuals who use ASL and want to communicate with hearing people, as well as for those who interact with ASL users.
About Sign-Language-Translator
dgovor/Sign-Language-Translator
Neural Network that is able to translate any sign language into text.
This project helps individuals create a customized translation tool that turns sign language gestures into written text. You provide video recordings of your specific hand signs, and the system learns to recognize them, outputting real-time predictions of signed sentences, complete with grammar correction. It's designed for anyone who needs to translate a particular sign language into text, especially for improving communication.
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