UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2602128


Registration ID:
575561

Page Number

b209-b214

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Title

DOCROUTE-RT: A Real-Time AI-Based System for Document Monitoring, Sharing, and Routing

Abstract

Abstract: Organizations are encountering a lot of difficulties with the use of technology to securely manage, share, and audit documents throughout their lifecycle while keeping transparency and operational efficiency. A majority of non- digital/former Document Management Systems (DMS) do not have real-time tracking abilities, workflow routing based on advanced technology, or detailed audit logs [1], [3]. This paper presents an AI-based system called DOCROUTE-RT to monitor, share, and route documents along with integrated real-time analytics reporting. The framework will include the use of Optical Character Recognition (OCR) to digitize documents and artificial intelligence methods to automatically summarize and categorize documents within the system [4], [5], [12]. A hybrid workflow model will utilize automated intelligence as well as human judgment to enable deadlines for routing, as well as reminders for due dates [6], [10]. Secure access to documents will be accomplished by utilizing QR code based sharing and code-based document exchange, as well as through the use of version control and detailed audit logs, enabling complete traceability of document related activities [7], [9]. Lastly, through the use of real-time dashboards, users will receive continuous monitoring of document related activities, system health, and user interaction, enabling accountability for all document related activities [1], [11], [15]. The use of this new system will increase the security, accountability, and efficiency of document lifecycle management in academic, corporate, and enterprise settings.

Key Words

Document Monitoring, Secure File Sharing, Hybrid Workflow, Artificial Intelligence, Optical Character Recognition (OCR), Document Tracking, QR Code Security, Workflow Routing, Real-Time Analytics, Audit Logging.

Cite This Article

"DOCROUTE-RT: A Real-Time AI-Based System for Document Monitoring, Sharing, and Routing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.b209-b214, February-2026, Available :http://www.jetir.org/papers/JETIR2602128.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DOCROUTE-RT: A Real-Time AI-Based System for Document Monitoring, Sharing, and Routing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppb209-b214, February-2026, Available at : http://www.jetir.org/papers/JETIR2602128.pdf

Publication Details

Published Paper ID: JETIR2602128
Registration ID: 575561
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: b209-b214
Country: Vasai, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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