Smart News Aggregation System using NLP

AI-based news aggregation and summarization system that delivers real-time news from News API trusted sources with intelligent automatic summaries. This smart news aggregator uses premium news APIs to collect the latest articles from categories such as technology, business, sports, and world news. Built using Natural Language Processing (NLP) and the T5-small transformer model, the system automatically converts lengthy news articles into short, clear, and meaningful summaries, helping users quickly understand important information without reading full content.

This AI-powered news summarizer provides a modern and user-friendly web interface where users can explore categorized news, receive personalized news recommendations, bookmark articles, and access instant summarized content. The project demonstrates the practical implementation of machine learning, deep learning, and web development technologies to build an intelligent news recommendation and summarization platform.

Developed as a final year project in artificial intelligence and web development, this system highlights real-world use of transformer models, NLP-based text summarization, paid news API integration, and personalized news filtering. It is ideal for students, developers, and researchers looking for an AI news aggregator project, machine learning final year project, NLP project using T5 model, or intelligent news web application.