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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60435

AI Assisted-Integrated Campus Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60435

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM60435

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

AC

Athul C¹

AS

Arya S²

BK

Bhavya K³

EVB

Edwin V B⁴

AA

Anjana Ashokan⁵

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Abstract

The AI-Assisted Integrated Campus Management System (ICMS) is a unified digital platform designed to streamline academic, administrative, and student services within an educational institution. It integrates essential modules such as complaint management, notes and resources portal, event registration, faculty directory, placement portal, gate pass system, and secure login authentication into a single web-based system. To enhance efficiency, the system incorporates Artificial Intelligence (AI) features like a chatbot powered by the Retrieval-Augmented Generation (RAG) method, enabling students to ask queries in natural language and receive accurate responses from campus data. The AI also supports complaint classification, smart notifications, and personalized recommendations based on user activity. Developed using Django or Spring Boot for the backend and React or Flutter for the frontend, ICMS ensures scalability, security, and a seamless user experience. By automating campus operations and enhancing communication, this project promotes transparency, efficiency, and intelligent management within modern educational institutions.

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Cite This Article

Athul C¹, Arya S², Bhavya K³, Edwin V B⁴, Anjana Ashokan⁵, "AI Assisted-Integrated Campus Management System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM60435

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Publication Date

4/17/2026

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Double-Blind Peer Review

Review Rounds: 2

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5

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

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