AI BASED TIME TABLE GENERATOR
DOI:
https://doi.org/10.64751/vehsjv14Keywords:
Artificial Intelligence, Time Table Generation, Automated Scheduling, Constraint Satisfaction, Optimization Algorithms, Resource Allocation, Smart Education System, Academic Scheduling System.Abstract
An AI-Based Time Table Generator is an intelligent scheduling system designed to automate the creation of academic timetables for schools, colleges, and universities. Traditional timetable preparation is a time-consuming and complex task that involves managing multiple constraints such as faculty availability, classroom allocation, subject distribution, student groups, and institutional policies. Manual scheduling often results in conflicts, inefficient resource utilization, and frequent revisions. The proposed system leverages Artificial Intelligence techniques such as constraint satisfaction, optimization algorithms, and heuristic-based scheduling to automatically generate conflict-free and optimized timetables. The system collects input data including subjects, teachers, classrooms, working hours, and academic rules, and processes these constraints using intelligent algorithms to produce an efficient schedule. It ensures that no teacher or classroom is double-booked and that subject hours are evenly distributed across the week. The AI model continuously improves scheduling efficiency by learning from previous data and adapting to changes such as sudden faculty leave or classroom unavailability. The system also allows administrators to manually adjust constraints and regenerate updated schedules instantly. By reducing human effort and minimizing errors, the AI-Based Time Table Generator enhances productivity, improves resource management, and ensures fairness in workload distribution.
Downloads
Published
Issue
Section
License

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







