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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59257

SMART CLASSROOM AND TIMETABLE SCHEDULER

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59257

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

.MM

. M. Mohanasundharam

SBAG

Shoban Babu A G

TS

Tharun S

VSS

Vetri Samayan S

YK

Yogeshwaran K

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Abstract

The Smart Classroom and Timetable Scheduler is an intelligent system designed to automate and optimize the process of classroom allocation and timetable generation in educational institutions. Traditional scheduling methods are often manual, time-consuming, and prone to conflicts such as overlapping classes, inefficient room usage, and faculty scheduling issues. This project aims to eliminate these challenges by providing a smart, automated solution. The system uses predefined inputs such as course details, faculty availability, classroom capacity, and time constraints to generate an optimized timetable. It ensures that no scheduling conflicts occur while maximizing resource utilization. Advanced algorithms and logical constraints are applied to assign appropriate classrooms and time slots efficiently. Additionally, the system provides flexibility for administrators to modify schedules easily and dynamically adjust to changes such as faculty unavailability or classroom maintenance. A user-friendly interface allows administrators, faculty, and students to access timetables in real time. Notifications and updates can also be integrated to inform users about schedule changes instantly.

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Cite This Article

. M. Mohanasundharam, Shoban Babu A G, Tharun S, Vetri Samayan S, Yogeshwaran K, "SMART CLASSROOM AND TIMETABLE SCHEDULER," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

6/3/2026

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Double-Blind Peer Review

Review Rounds: 2

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

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