Adaptive Web Accessing Tool For Visually Impaired People With Explainable AI

Abstract

In today's digital era, websites serve as vital repositories of information, yet their predominantly visual format poses significant challenges for blind and visually impaired individuals. Existing web-accessing tools often demand a level of computer literacy that is not universally attainable among this demographic. To address these limitations, this study attempts to develop a novel web-accessing AI tool specifically tailored to the needs of blind and visually impaired users with varying levels of computer literacy. The envisioned web-accessing tool aims to empower blind and visually impaired individuals to access information from the web seamlessly using voice commands, thereby bypassing the barriers posed by visual interfaces. Unlike conventional tools, this solution prioritizes accessibility and ease of use, enabling users to access Wikipedia and other up-to-date information effortlessly. Using input speech recognition, techniques for accessing the latest information from various sources, and text-to-speech capabilities when it comes to audio output, the tool will revolutionize web accessibility for the visually impaired.