An Intelligent Context-aware Web Browser For Assisted Research

Abstract

Modern Web Browsers Are Optimized For Content Navigation And Rendering Rather Than Information Understanding. Researchers And Students Often Rely On Multiple Browser Tabs To Gather Information, Which Leads To Cognitive Overload, Fragmented Context, And Reduced Productivity. Although Recent AI-powered Tools Provide Assistance In Summarization And Question Answering, They Typically Function As External Add-ons And Lack Continuous Awareness Of User Intent And Browsing Context. This Paper Proposes An Intelligent, Context-aware Web Browser Framework That Actively Assists Users During Research Activities By Understanding Content Semantics, Tracking User Intent, And Providing Real-time Insights Such As Summaries, Comparisons, And Knowledge Connections. The Proposed Approach Aims To Transform Conventional Browsers From Passive Interfaces Into Proactive Research Assistants, Thereby Improving Research Efficiency And User Experience.

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