Abstract: Choosing the right college is a pivotal step for aspiring engineers, as it greatly influences their career trajectory in the field of engineering. Many students face confusion when completing admission forms, often due to insufficient information and a lack of understanding about how to prioritize their preferred colleges on their selection lists. As competition for admission into education increases, it becomes even more important for applicants to find correct college which is suitable for him that fit their requirements and expectation. Selecting appropriate college to apply, however, is a time-consuming process, especially when looking for colleges at graduate level due to the various factors in decision making imposed by the colleges and applicants. In this project, we propose a recommendation system that suggests appropriate colleges to the students based on K-Nearest Neighbor algorithm. As graduate programs make decisions based on applicants’ qualification, our recommender considers user’s personal data and cutoff data of various graduate colleges registered by college admin.