Abstract :

Educational Institutions Face Significant Challenges In Preparing Class Timetables That Efficiently Utilize Faculty, Classrooms, And Academic Resources While Complying With The Multidisciplinary Framework Introduced By The National Education Policy (NEP) 2020. Manual Timetable Preparation Is Timeconsuming, Error-prone, And Difficult To Modify Whenever Changes Occur. This Project Presents An AI-Based Timetable Generation System Aligned With NEP 2020 That Automatically Generates Academic Timetables Through A User-friendly Web Application. The System Allows Users To Select The Department, Semester, Working Days, Subjects, Period Timings, And Lunch Break Timing. Using Intelligent Scheduling Logic, The Application Produces A Structured Timetable Within Seconds, Reducing Manual Effort And Improving Scheduling Efficiency. The Project Is Developed Using Flask, HTML, CSS, And JavaScript, Providing A Responsive Interface For Timetable Generation. KEYWORDS: Artificial Intelligence, Timetable Generation, NEP 2020, Flask, Scheduling System, Automation, Web Application.

Published:

05-8-2026

Issue:

Vol. 26 No. 8 (2026)

Page Nos:

669 - 674

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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