AI Based News Aggregator and Summarizer

Authors

Bhavya Thakkar, Raj Shah, Vandit Shah, Prof. Sweedle Machado
Dwarkadas J Sanghvi College of Engineering, Information Technology Department, Mumbai, Maharashtra, India.

Abstract

For many centuries, newspapers have been a reliable source of news and information for us. They were previously offered in the form of newspapers, but they are now also accessible online. There are multiple news sources that provide news on various topics. The users desire to read them in their own comfort, like not having to type or navigate to different websites. The system suggested in this study makes it simpler for the user to read news articles. The articles are compiled from many sources and provided in a condensed format. The software is available in Hindi, Gujarati, and English. Voice assistant helps the user to control the flow and delivers a better user experience. To keep the user interested, the recommendation system makes article suggestions.