VAHI 2.0: Voice Assistant with Hand Sign Interpretation

Authors

  • Anandhakrishnan J, Allen John Manoj, Bestin Biju, Fabio Joby Varghese, Er. Rose V Pattani Author

DOI:

https://doi.org/10.48047/r7g91y15

Keywords:

Hand Sign Language, Voice Assistant, Gesture Recognition, Distress Signal, MediaPipe, TensorFlow, Accessibility, Assistive Technology, Real-Time Processing.

Abstract

We explored VAHI 2.0, a multifunctional communication platform developed to support individuals who are deaf or have speech impairments. Our study focused on three main elements that work seamlessly together: a live Hand Sign Language Translator, a safety-focused Distress Signal Generator, and an interactive Voice Assistant with a gamified interface. Our evaluation showed that the integration of TensorFlow and MediaPipe significantly enhances the system’s ability to convert hand signs into both text and audible speech. This capability bridges the communication gap between sign language users and those unfamiliar with it.

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Published

05.06.2025

Issue

Vol. 15 No. 6 (2025): volume 15 issue 6(2025)

Section

Articles

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How to Cite

VAHI 2.0: Voice Assistant with Hand Sign Interpretation. (2025). International Journal of Information and Electronics Engineering, 15(6), 40-48. https://doi.org/10.48047/r7g91y15