AI News Aggregator: An Intelligent Real-Time News Curation and Verification System

Authors

  • Shrawani Ananda Shinde
  • Dipali Siddharam Saptale
  • Mamta Bibhishan Jawale
  • M. S. Chaudhari

Keywords:

AI news aggregator, Digital media, Machine learning, Natural language processing, Real-time updates

Abstract

To address these challenges, this paper presents an AI News Aggregator, an intelligent system designed to deliver real-time global news that is curated, analyzed, and verified using Artificial Intelligence. The platform automatically collects news from various trusted sources, processes the data using Natural Language Processing (NLP), and filters out duplicate, irrelevant, or misleading content. With the rapid growth of digital media, the volume of news content available online has increased exponentially. While this ensures accessibility, it also creates major challenges such as information overload, redundancy, and the spread of misinformation. Users often struggle to identify reliable and relevant news from multiple sources, leading to confusion and misinterpretation. The system incorporates machine learning algorithms to classify news, detect fake information, and provide sentiment analysis. Additionally, it offers personalized recommendations based on user preferences and reading behavior, enhancing user experience. The frontend of the application is developed using modern web technologies such as HTML, CSS, and JavaScript (or React.js), while backend processing is handled using frameworks like Spring Boot or Python-based services. The system ensures secure data handling, fast processing, and real-time updates. The system introduces a structured monitoring mechanism through a dynamic dashboard that provides real-time visibility of event progress, completed tasks, and pending activities. This improves workflow transparency and enables users to maintain better control over timelines and resource allocation. By presenting organized event data in a clear format, JoyNest enhances planning accountability and reduces the likelihood of last-minute scheduling conflicts. By combining intelligent automation with advanced analytics, the AI News Aggregator improves the reliability, accessibility, and quality of news consumption while reducing misinformation and digital noise.

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Published

2026-04-16