Design and Implementation of Multilingual Sign Language Recognition System

Student: Ayobami Joshua Adeleke (Project, 2025)
Department of Computer and Information Science
Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State

Abstract

This project develops a real-time multilingual sign language recognition system using YOLO and TensorFlow, achieving 99% accuracy in detecting gestures across languages like ASL and BSL. Despite hardware and scope limitations, it shows strong potential to enhance accessibility for the Deaf community.

Keywords
Multilingual Sign Language Recognition YOLO TensorFlow Real-Time Gesture Detection Accessibility Deaf Communication Artificial Intelligence Computer Vision Inclusivity Human-AI Interaction
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