Abstract: In todays world, students have wide range of options relating to number of online courses that they may choose from. The course recommendation system utilizes a student's interested skill and chosen level to suggest the top 5 courses best suited to their proficiency. By analysing the student's level, the system employs algorithms to match the student with courses that align with their skill set and learning objectives. This personalized approach enhances the learning experience by ensuring students engage with content appropriate to their expertise, fostering both comprehension and advancement. It helps the student to choose the elective subjects and collects user feedback for enhancing user experience.

Keywords: online courses, recommender system, feedback, electives.

| DOI: 10.17148/IARJSET.2024.11463