AI-Based News Recommendation System Using API Integration

Author(s)	Mr. Srijan ashish, Mr. Harsh kamboj, Dr. Chouhan Kumar Rath
Country	India
Abstract	The advent of the digital age and the growing trend of online news sources have led to information overload, making it difficult to distinguish the relevant and trustworthy sources of online news. To counter such issues, there emerges the development of an Artificial Intelligence-Based News Recommendation System through API integration in this work. This system is developed using pre-trained models based on artificial intelligence and in collaboration with various external APIs, which tend to identify relevant features based on news articles, in turn helping to provide personalized recommendations to users based on their preferences and choices. Based on such features and user interaction, relevant online news articles are recommended to users in real time without the need for in-depth training and learning.
Keywords	Artificial Intelligence, News Recommendation, API Integration, NLP, Personalized Recommendation, Machine Learning
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-08

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International Journal For Multidisciplinary Research