Abstract: Automated Timetable Generators (ATGs) have emerged as essential tools in educational institutions to simplify scheduling and resource allocation. These systems replace manual planning with intelligent, algorithm-driven scheduling that minimizes human error and resource conflicts. This paper surveys the current technologies, algorithms, and challenges in automated timetable systems. It explores various approaches, from rule-based systems to AI-powered models, and identifies gaps in existing solutions such as scalability, user flexibility, and real-time conflict resolution. The survey aims to guide future enhancements for adaptive, scalable, and institution-friendly timetable solutions.

Keywords: Timetable Generator, Conflict Detection, Scheduling Algorithms, Educational Technology, Automation.


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.14540

How to Cite:

[1] R. Pratheeba, Chalini.T, Sarojadevi.S, "Automatic Time table Generator," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14540

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