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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM58970

Implementation on Document Summarizer with Realtime News Integration

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM58970

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58970

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

PSSW

Prof. Suvarna Sujit Wakchaure

DMJ

Darshan Mangesh Jadhav

DRD

Dhanraj Rajendra Dingar

NSG

Neha Sushil Gupta

RAT

Rehan Abid Tamboli

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Abstract

In today’s fast-paced digital era, individuals encounter vast amounts of information through documents, articles, and reports. Reading and comprehending all this content can be time-consuming and challenging. To address this issue, this project presents an Intelligent Document Summarization System that automatically condenses lengthy documents while preserving their key ideas and essential meaning. The system supports multiple file formats, including PDF, TXT, and DOCX, and employs advanced text extraction and summarization techniques to produce concise and coherent summaries. It also offers multilingual support for English, Hindi, and Marathi, enhancing accessibility for diverse users. Additionally, the system integrates real-time related news retrieval, enabling users to stay informed on topics relevant to their documents. Users can easily copy, download, or share summaries, and with secure login and authentication, they can save and manage their summary history. Overall, this project delivers a smart, efficient, and user-friendly solution for managing and understanding large volumes of information, ultimately helping users save time and enhance productivity.

KEYWORDS

Intelligent Document Summarization Text Summarization Automatic Summarization Multi-format Document Support (PDF TXT DOCX) Text Extraction Natural Language Processing (NLP).

Cite This Article

Prof. Suvarna Sujit Wakchaure, Darshan Mangesh Jadhav, Dhanraj Rajendra Dingar, Neha Sushil Gupta, Rehan Abid Tamboli, "Implementation on Document Summarizer with Realtime News Integration," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM58970

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Publication Date

3/3/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

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No funding information available for this research.

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