MRI
MRI India Journals Vol. 14 No. 1 (2025)

Sign-Speaks From Audi-Scan

Authors

  • A. B. Gavali Assistant Professor, S. B. Patil College of Engineering
  • Pooja Sopan Fulari Department of computer Engineering, Savitribai Phule Pune University
  • Jadhav Amruta Anil Department of computer Engineering, Savitribai Phule Pune University
  • Shinde Shubhangi Babasaheb Department of computer Engineering, Savitribai Phule Pune University
  • Surve Apeksha Annasaheb Department of computer Engineering, Savitribai Phule Pune University

DOI:

https://doi.org/10.65521/ijacte.v14i1.555

Keywords:

Sign Language Speech Recognition Optical Character Recognition

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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Published

2025-06-01

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. https://doi.org/10.65521/ijacte.v14i1.555

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