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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42392

A Dynamic News Aggregation Platform with Personalization

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42392

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

JB

Jai Bhaskar

SK

Sania Khalid

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Abstract

– This paper presents the development and implementation of a dynamic news aggregation website that provides personalized news, text summarization, multilingual support, and text-to-speech features. The system utilizes the NewsAPI to fetch real-time news, processes the data using JavaScript, and enhances user experience through dark mode, language preferences, and voice-based interactions. The paper discusses the architecture, features, implementation challenges, testing results, and future enhancements for improving user engagement

KEYWORDS

News Aggregation Personalization Text-to- Speech AI Summarization Multilingual Support

Cite This Article

Jai Bhaskar, Sania Khalid, "A Dynamic News Aggregation Platform with Personalization," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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