REAL-TIME SIGN LANGUAGE TRANSLATION AND SENTENCE CONSTRUCTION USING AI: THE "INCLUSION-BOT" FRAMEWORK
Abstract
This article presents the development and practical impact of Inclusion-Bot, a new AI-based system that translates sign language into spoken language in real time. Rather than recognizing signs letter by letter like most traditional systems, Inclusion-Bot uses a semantic approach that identifies complete words and automatically builds meaningful sentences. Developed with Next.js, MediaPipe, and TensorFlow.js, the platform offers a fast, low-latency solution that runs directly in any web browser, removing the need for costly hardware. The study highlights how this technology improves accessibility for people with hearing impairments, explains the gesture-to-sentence logic, and explores the future of inclusive digital communication in Uzbekistan.
Keywords
Artificial Intelligence, Sign Language Translation, Inclusion-Bot, Accessibility, Next.js, Computer Vision, Semantic Recognition.
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