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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65061
Volume:
10 |
6 |
Jun 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Information Technology
Sinhgad Institute of Technology and Science
Department of Information Technology
Sinhgad Institute of Technology and Science
Department of Information Technology
Sinhgad Institute of Technology and Science
Department of Information Technology
Sinhgad Institute of Technology and Science
The Web has become an indispensable medium for communication, education, and information access; however, many users with visual, cognitive, and learning disabilities continue to encounter challenges while interacting with increasingly complex web content. Existing assistive technologies and screen readers provide basic accessibility support but often suffer from limitations such as linear navigation, limited contextual understanding, and inadequate mechanisms for reducing cognitive load. To address these challenges, this paper presents VisionaryAI, an AI-powered voice-driven browser extension designed to provide intelligent and inclusive web interaction. The proposed framework integrates speech recognition, conversational artificial intelligence, and adaptive text-to-speech technologies to enable natural voice-based navigation, webpage reading, AI-generated content summarization, and image description capabilities. In addition, VisionaryAI incorporates cognitive accessibility features including focus mode, decluttering, reading rulers, dyslexic-friendly typography, and automated WCAG 2.2 accessibility auditing. Unlike conventional screen readers that primarily deliver sequential content access, the proposed system offers a multimodal and interactive browsing experience. VisionaryAI demonstrates how the integration of artificial intelligence and human-centered accessibility principles can contribute to a more inclusive, efficient, and user-friendly web environment.
KEYWORDS
The proposed system, VisionaryAI, is implemented as a browser-based accessibility extension that provides voice-driven interaction and AI-assisted support for web browsing. The extension integrates speech recognition, text-to-speech, webpage content extraction, and AI-powered features to enhance accessibility and user experience. Technologies Used: • Speech Recognition: Chrome Web Speech API • Text-to-Speech: Chrome Speech Synthesis API, Artyom.js • AI Processing: OpenAI API • Web Content Extraction: JavaScript DOM API • Frontend: HTML, CSS, JavaScript • Platform: Google Chrome Extension (Manifest V3) The system operates in real time and allows users to navigate webpages, read content aloud, generate summaries, describe images, and interact with web elements using voice commands.
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Publication Date
6/16/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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