Design and Implementation of an Intelligent Web-Based Academic Advising System for Caritas University

Academic advising plays a crucial role in guiding students toward timely graduation and academic success. However, traditional advising methods are often time-consuming, inconsistent, and limited by advisor availability. This study presents the design and implementation of an intelligent web-based academic advising system for Caritas University. The system integrates rule-based intelligence to provide personalized course recommendations, prerequisite checking, degree progress monitoring, and automated responses to students' queries. The platform was developed using PHP, MySQL, JavaScript, HTML, CSS, and Bootstrap. The system was evaluated through functional testing and user feedback from students and academic advisers. Results indicate that the system improves advising efficiency, accessibility, and decision-making for both students and advisers.