Real-Time News Customization with AI Summarization

Authors

  • Nikita Katariya, Pratham Vyawahare, Bhagyashree Madan, Kavita Meshram, Charvi Suri, Neha Zade

Keywords:

AI summarization, Browser extension, Browsing history analysis, Digital media consumption, Gemini Pro Model, Google News API, Information overload, News aggregation, Personalization, Real-time news retrieval.

Abstract

In the current digital era, accessing relevant news content amidst the deluge of information poses a significant challenge. To address this issue, we propose a novel approach through the development of a browser extension aimed at transforming news consumption. This extension seamlessly integrates with users' browsing history to tailor news recommendations, thereby enhancing relevance and personalization. Leveraging the robust capabilities of the Google News API, our extension retrieves real-time news items from diverse sources, ensuring comprehensive coverage of relevant topics. Despite the wealth of available information, the persistent problem of information overload persists. To mitigate this, we incorporate AI-powered summarization techniques, employing the Gemini Pro Model to condense lengthy articles into concise summaries. This amalgamation of real-time news retrieval, user centric browsing history analysis, and AI-driven summarization marks a paradigm shift in news aggregation, offering users a highly customized and efficient browsing experience. Our innovative extension not only facilitates streamlined news consumption but also fosters deeper engagement and enjoyment, ultimately contributing to a more informed and connected digital society.

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References

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Published

12.06.2024

How to Cite

Nikita Katariya. (2024). Real-Time News Customization with AI Summarization. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 3074–3078. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6800

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

License

Copyright (c) 2024 Nikita Katariya, Pratham Vyawahare, Bhagyashree Madan, Kavita Meshram, Charvi Suri, Neha Zade

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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