Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 7 Issue 3
May-June 2026

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News:U – AI-Based Personalized News Search and Fact-Checked Tracking System

Author(s) Mr. Lalith Srinandan Musti, Nidhi Srivatsav, Vardaan Bhatia, Manne Sree Charan, Sudheep Bhaskar
Country India
Abstract The rapid growth of online news content has resulted in significant information overload, making it difficult for users to identify relevant and reliable information. Traditional news platforms provide generic feeds with limited personalization and minimal fact-checking capabilities, which often leads to misinformation exposure and inefficient information consumption. This paper presents News:U, an AI-based personalized news search and tracking system designed to deliver curated and verified news articles based on user preferences. The proposed system incorporates automated topic tracking, intelligent relevance ranking, and an integrated fact-checking pipeline to ensure accuracy and relevance. A microservices-based architecture is adopted to support scalability and modularity. The relevancy engine combines topic similarity, user behavior analysis, temporal recency, and source credibility to rank articles. Additionally, a scheduled notification system delivers daily curated news digests to users. Experimental evaluation demonstrates improved personalization efficiency and reduced information overload compared to traditional news aggregation systems. The proposed solution provides a reliable and intelligent platform for students, professionals, and researchers to stay informed with verified and relevant information.
Keywords Personalized News, News Recommendation, Fact Checking, Information Retrieval, NLP, News Aggregation
Field Engineering
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-05-05
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E-ISSN 3048-7641
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