AI-DRIVEN PERSONALIZED NEWS STREAM

Abstract

The AI-Driven Personalized News
Stream is a full-stack web application
designed to deliver a customized news
experience based on user preferences. The
system allows users to select topics of
interest, filters news sources accordingly,
and presents a personalized news feed in
real time. The backend efficiently fetches
and categorizes news from various
sources, while the frontend ensures a
seamless and engaging user interface. This
project enhances user experience by
reducing clutter and providing relevant
news, making information consumption
more efficient and enjoyable. The backend
integrates news APIs to fetch and filter
real-time articles, while the frontend
provides an intuitive and interactive user
interface. Advanced filtering mechanisms
help eliminate irrelevant news, ensuring
users stay informed with content that
matters to them. The project emphasizes
speed, efficiency, and user engagement,
making news consumption a more
seamless and personalized experience.