“NEWS SCRAPING AND SUMMARIZATION USING NATURAL LANGUAGE PROCESSING TO TRANSFORM THE INFORMATION ACCESS

“NEWS SCRAPING AND SUMMARIZATION USING NATURAL LANGUAGE PROCESSING TO TRANSFORM THE INFORMATION ACCESS

Registration ID: IJNRD_222066

Published ID: IJNRD2405548

DOI: Click Here to Get

Suhas Bharadwaj R , Amith H D , Anand J , Bhargav M Gowda , Chinmaya Y N

News Summarizer and Ranking App, Digital News Consumption, Natural Language Processing (NLP), User Engagement, Data Collection and Processing, BERT Model, Abstractive Summarization, UserCentric Design, Dynamic Content Ranking, Flutter Mobile App

The project titled "News Summarizer and Ranking App" is an ambitious endeavor aimed at revolutionizing news consumption by offering a comprehensive solution for news retrieval and summarization. Integrated seamlessly with a state-of-the-art mobile application developed using Flutter, this project sets the stage for an unparalleled user experience. Powered by the versatility of Dart, the backend of the application showcases remarkable efficiency in aggregating diverse news articles into a unified platform. At its core, the project boasts a sophisticated summarization module driven by Natural Language Processing (NLP), enabling the distillation of intricate content into concise and accessible summaries. Within the Flutter-based mobile app, users are greeted with an intuitive interface facilitating effortless browsing, interactive engagement through features like likes and comments, and real-time updates on the latest news. Beyond its technical efficiency, this comprehensive system exemplifies user-centric design principles, offering not just streamlined functionality but also delivering an immersive and visually captivating experience. As users navigate through succinctly summarized news content, they are immersed in a holistic ecosystem that seamlessly blends technological innovation with a user-friendly interface, setting new benchmarks in the realm of news consumption applications.

Published Paper   E-Certificate

"“NEWS SCRAPING AND SUMMARIZATION USING NATURAL LANGUAGE PROCESSING TO TRANSFORM THE INFORMATION ACCESS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.f436-f440, May-2024, Available :https://ijnrd.org/papers/IJNRD2405548.pdf

Volume 9 Issue 5, May-2024

Pages : f436-f440

Paper Reg. ID: IJNRD_222066

Published Paper Id: IJNRD2405548

Downloads: 000121190

Research Area: Engineering

Country: Mysuru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405548.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405548

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

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