University Recommendation System for MS

Recommendation System is a subclass of information filtering system which takes input from students and provides Students with the most suitable output to fulfill his re-quirements. This system is used to present a new college admission system using data mining and machine learning techniques for tackling college admission prediction problems. This System uses content-based filtering and collaborative Filtering to provide aspiring students (Master of Science) with the most appropriate choices of colleges based on different parameters. The system analyses the student academics, merit, background, student records and the college admission criteria. Then it predicts the likelihood of colleges the student may enter. In addition to the high prediction accuracy is an advantage, as the system can predict suitable colleges that match the student's profiles and the suitable track channels through which the students are advised to enter.