MRI
MRI India Journals Vol. 14 No. 1 (2025)

SmartNews: AI-Powered News Summarizer

Authors

  • 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

DOI:

https://doi.org/10.65521/ijacte.v14i1.572

Keywords:

Extractive Abstractive Summarization

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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Published

2025-06-03

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. https://doi.org/10.65521/ijacte.v14i1.572

Issue

Vol. 14 No. 1 (2025)

Section

Articles

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