UNKAHA: A Real-Time AI-Based Messenger Application for Indian Sign Language Communication

Author(s)	Vaibhav Jain, Satya Priya Anand, Dr. C. Mahesh
Country	India
Abstract	UNKAHA is a real-time AI-assisted web-based communication platform designed to bridge the communication gap between hearing and hearing-impaired individuals through automated Indian Sign Language recognition. The system integrates video communication with real-time gesture detection and caption generation using client-side machine learning technologies. The architecture combines WebRTC-based video streaming, Socket.IO real-time messaging, and TensorFlow.js-based gesture recognition. Experimental evaluation demonstrates an average gesture recognition latency of approximately 500 ms per frame and message latency below 100 ms. The proposed system demonstrates the feasibility of deploying accessible assistive communication technologies within standard web browsers.
Keywords	Indian Sign Language, Gesture Recognition, WebRTC, Assistive Communication Systems, TensorFlow.js, MediaPipe
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-05

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