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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM58970
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
3/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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