Lingua Hands: AI Sign Language Translator with Reverse Mode1

Authors

  • Dr. Waseema Masood Associate Professor, Department of Computer Science and Engineering Deccan College of Engineering and Technology, Aghapura, Hyderabad, 500001 Osmania University Author
  • Sumaita Fatima, Shaista Muzammil UG Scholar, Department of Computer Science and Engineering Deccan College of Engineering and Technology, Aghapura, Hyderabad, 500001 Osmania University Author

Keywords:

AI Sign Language Translator

Abstract

LinguaHands is an AI-powered sign language translator designed to bridge the communication gap between hearing-impaired individuals and the general public using multimodal inputs such as video and gesture recognition. The system integrates advanced technologies including MediaPipe for hand landmark detection, a deep learning model for gesture classification, and text-to-speech systems for generating human-like voice responses. Users can perform sign language gestures in front of a camera, and the system analyzes these gestures to deliver real-time, context-aware text and audio translations. The system also supports a reverse mode where spoken or typed text is converted into animated sign language output. Built with a simple and interactive interface, LinguaHands aims to improve accessibility and inclusivity for the hearing-impaired community, especially in public and educational environments. The system serves as an efficient, scalable solution for real-time sign
language interpretation and awareness.

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Published

2026-04-25

Issue

Section

Articles

How to Cite

Lingua Hands: AI Sign Language Translator with Reverse Mode1. (2026). International Journal of Engineering and Science Research, 16(2s), 65-67. https://ijesr.org/index.php/ijesr/article/view/1687

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