ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title

An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence

Authors

Vegulla Uday Sai Siddardha , Vivek Kumar , Kalidindi Bhuvana Raja Rajeswari , Veduri Veera Prasad

Keywords

Document Management System, Natural Language Processing, Optical Character Recognition, Semantic Search, Information Retrieval.

Abstract

In the present digital era, individuals and organizations handle a massive volume of documents in different formats such as text files, PDFs, scanned images, and handwritten notes, making information retrieval a difficult and time-consuming task. To overcome this challenge, this work presents an AI-based personal assistant that enables secure storage, intelligent management, and quick retrieval of user documents through interactive communication. The system allows users to search using both text and voice queries, providing fast and relevant responses. Techniques such as Optical Character Recognition (OCR) are employed to extract text from scanned and image-based documents, while Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) are used to understand user intent and generate accurate answers. Strong authentication and encryption mechanisms are integrated to ensure data privacy and protection. In addition, features such as cloud-style document storage, an AI analytics dashboard, and Razor pay-based premium subscription support enhance the overall functionality of the system. The proposed solution aims to offer a practical, secure, and intelligent platform that simplifies access to personal and professional information and improves everyday productivity.

How To Cite

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IJCRT — journal style
"An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.e10-e19, February 2026, Available :https://ijcrt.org/papers/IJCRT2602467.pdf
APA — 7th edition
Siddardha, V. U. S., Kumar, V., Rajeswari, K. B. R., & Prasad, V. V. (2026). An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence. International Journal of Creative Research Thoughts, 14(2), e10-e19. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467
MLA — 9th edition
Siddardha, Vegulla Uday Sai, et al. "An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. e10-e19, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467.
Chicago — 17th, bibliography
Siddardha, Vegulla Uday Sai, et al. "An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence." International Journal of Creative Research Thoughts 14, no. 2 (2026): e10-e19. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467.
Harvard — author–date
Siddardha, V.U.S. et al. (2026) 'An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence', International Journal of Creative Research Thoughts, 14(2), pp. e10-e19. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467
IEEE — numbered reference
V. U. S. Siddardha, V. Kumar, K. B. R. Rajeswari and V. V. Prasad, "An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence," IJCRT, vol. 14, no. 2, pp. e10-e19, Feb. 2026.
Vancouver — biomedical
Siddardha VUS, Kumar V, Rajeswari KBR, Prasad VV. An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence. IJCRT. 2026 Feb;14(2):e10-e19.
AMA — 11th edition
Siddardha VUS, Kumar V, Rajeswari KBR, Prasad VV. An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence. IJCRT. 2026;14(2):e10-e19. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602467, author = {Vegulla Uday Sai Siddardha and Vivek Kumar and Kalidindi Bhuvana Raja Rajeswari and Veduri Veera Prasad}, title = {An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {2}, pages = {e10-e19}, year = {2026}, month = {February}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467} }
RIS — EndNote, RefWorks
TY - JOUR AU - Siddardha, Vegulla Uday Sai AU - Kumar, Vivek AU - Rajeswari, Kalidindi Bhuvana Raja AU - Prasad, Veduri Veera TI - An Automated System for Intelligent Document Management and Query Answering Using Artificial Intelligence T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 2 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602467 SP - e10-e19 ER -

Issue

Volume 14 Issue 2, February-2026
Pages : e10-e19

Article Information

Pages
e10-e19
Published
February 2026
Registration ID
IJCRT_301781
Published Paper ID
IJCRT2602467
Research Area
Science and Technology
Author Type
Indian Author
Location
Rajahmundry, Andhra Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
199

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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2013 ESTD Year
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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