Sign-Speaks From Audi-Scan

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A. B. Gavali
Pooja Sopan Fulari
Jadhav Amruta Anil
Shinde Shubhangi Babasaheb
Surve Apeksha Annasaheb

Abstract

This research introduces a new system that helps people who use sign language communicate with those who don't. The system uses advanced technology to watch and understand hand movements, recognizing sign language gestures in real time. It then translates these gestures into text and, using speech technology, turns the text into spoken words. This makes communication easier by providing both written and spoken translations of sign language. The system could greatly improve how people with hearing impairments interact in social, educational, and work environments, making things more inclusive and accessible for everyone.

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How to Cite
Gavali, A. B., Fulari, P. S., Anil, J. A., Babasaheb, S. S., & Annasaheb, S. A. (2025). Sign-Speaks From Audi-Scan . International Journal on Advanced Computer Theory and Engineering, 14(1), 436–442. Retrieved from https://journals.mriindia.com/index.php/ijacte/article/view/555
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Articles

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