Online Course Registration System Using Web- Based Automation and Database Optimization

Abstract

The rapid advancement of digital education has created a significant demand for efficient and automated online course registration systems in academic institutions. Traditional manual registration processes often result in time delays, data redundancy, and scheduling conflicts, thereby reducing the overall efficiency of administrative and academic operations. This paper presents the design and implementation of an intelligent Online Course Registration System that automates enrollment, course allocation, and validation processes using a web-based framework. The system is developed with front-end technologies such as HTML, CSS, and JavaScript, while the backend employs PHP and MySQL for secure database management. A Python-based validation algorithm ensures scheduling accuracy and prevents overlapping course selections. The system was deployed locally using XAMPP and tested with simulated datasets representing 120 students and 20 instructors. Experimental results indicate a 98.6% accuracy rate in conflict detection and a 60% improvement in processing time compared to existing manual systems. The proposed solution offers scalability, enhanced user experience, and reduced administrative overhead, making it an effective model for digital transformation in educational institutions