There is a management system in every college to manage the student’s records. These days very few system evaluates the performance of the student based on their yearly performance in academics. Nowadays the Student failure and dropout rate is increasing drastically and is the biggest problem. Data mining plays a vital role in predicting and identifying these dropout rate. The proposed system is capable of predicting the performance of student which in turn could help the professor to identify the students who are about to have a bad performance and are going likely to fail in future. The proposed system assess the evaluation of student performance through data mining techniques such as Decision tree, Fuzzy logic, C means clustering.