Cloud-Integrated Automated Academic Scheduling System: A Scalable Web-Based Approach for Conflict-Free Timetable Generation

Abstract: Academic timetable management remains a persistent administrative bottleneck in educational institutions worldwide. Conventional scheduling practices rely on manual allocation procedures that are error-prone, time- intensive, and incapable of dynamically responding to evolving constraints such as faculty availability, subject hour requirements, and classroom occupancy. This paper presents the design, development, and deployment of a cloud- integrated automated academic scheduling system built upon the Flask web framework, a relational SQLite database engine, and Amazon Web Services (AWS) infrastructure, leveraging AWS CodePipeline and AWS Elastic Beanstalk for continuous integration and scalable deployment. The proposed system introduces a constraint-aware slot-filling algorithm that distributes subjects across a five-day weekly schedule while respecting per-subject credit-hour allocations assigned by the administrator. The platform provides a web-based administrative interface encompassing faculty registration, course configuration, departmental class management, subject-faculty assignment, automatic schedule generation, inline schedule editing, and CSV-based export functionality. Experimental evaluation on three academic cohorts-comprising undergraduate and postgraduate programs-demonstrates that the system successfully generates complete, conflict-free timetables within sub-second response times. The architecture's serverless deployment model inherently provides horizontal scalability and high availability without infrastructure overhead. The proposed solution reduces timetable preparation time by an estimated 85% compared to manual methods, offering a compelling advancement for the domain of intelligent academic resource management.

Keywords: Academic timetable management, automated scheduling system, cloud computing, AWS Elastic Beanstalk, Flask framework, constraint-based scheduling, educational resource planning, web-based administration