SmartNews: AI-Powered News Summarizer

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Published: Jun 3, 2025
Keywords:
Extractive, Abstractive Summarization

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Abha Pathak 
Assistant Professor, Computer Engineering, Dr. D. Y. Patil College of Engineering and Innovation, Pune
Trupti Pawar
U.G. Student, Computer Engineering. Dr. D. Y. Patil College of Engineering and Innovation, Pune
Yogeshwari Pawar
U.G. Student, Computer Engineering. Dr. D. Y. Patil College of Engineering and Innovation, Pune
Shreya pawar
U.G. Student, Computer Engineering. Dr. D. Y. Patil College of Engineering and Innovation, Pune

Abstract

In today's digital era, the rapid influx of online news content poses a significant challenge for users seeking concise and relevant information. SmartNews: AI-Powered News Summarizer is a system designed to address this challenge by leveraging Natural Language Processing (NLP) and Machine Learning (ML) techniques to automatically generate concise summaries of lengthy news articles. The system utilizes Python- based libraries such as NLTK, spaCy, and Transformers for text preprocessing, keyword extraction, and semantic understanding. By implementing both extractive and abstractive summarization models, SmartNews delivers accurate and contextually meaningful summaries, enabling users to grasp essential news content quickly.

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How to Cite
Pathak ,A., Pawar, T., Pawar , Y., & pawar , S. (2025). SmartNews: AI-Powered News Summarizer. International Journal on Advanced Computer Theory and Engineering, 14(1), 475–481. Retrieved from https://journals.mriindia.com/index.php/ijacte/article/view/572
Issue
Vol. 14 No. 1 (2025)
Section
Articles