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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Attention Guardian AI

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Shashank Tiwari, Sai Karthik Sriram, Shiva Sai Yelagala and Yashwanth Gujja *

Department of CSE (AI and ML) of ACE Engineering College, Hyderabad, India.

Research Article

World Journal of Advanced Research and Reviews, 2026, 30(01), 213-219

Article DOI: 10.30574/wjarr.2026.30.1.0797

DOI url: https://doi.org/10.30574/wjarr.2026.30.1.0797

Received on 22 February 2026; revised on 1 April 2026; accepted on 4 April 2026

Online learning platforms are widely used for education, but frequent advertisements distract users and reduce learning efficiency. This paper presents Attention Guardian AI, a Chrome extension that detects advertisements and replaces them with study tips and interactive quizzes. The system uses DOM manipulation and MutationObserver for real-time ad detection and analyzes webpage content to provide relevant educational material. AI integration enables personalized content generation, while offline support ensures continuous functionality. Additionally, user activity is tracked and visualized through a dashboard. The proposed system enhances focus, improves productivity, and promotes active learning.

Attention Guardian AI; Chrome Extension; Artificial Intelligence; Ad Replacement; Online Learning; DOM Manipulation; Personalized Learning; Learning Analytics

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0797.pdf

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Shashank Tiwari, Sai Karthik Sriram, Shiva Sai Yelagala and Yashwanth Gujja. Attention Guardian AI. World Journal of Advanced Research and Reviews, 2026, 30(01), 213-219. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.0797.

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