Every college manage their student records through their own management system. Currently, there are very less system that evaluates the performance of the system on the basis of their academic performance. Student failure and dropouts are a major problem nowadays. There are many factors that influence student dropout. Data Mining can used to predict and identify the dropouts. This system is capable of predicting the performance of student which helps the professor to identify students that are going to have bad performance and our about to fail. The proposed system predicts the evaluation of student performance through data mining techniques such as Decision tree, Fuzzy logic, Pearson Correlation, Ontological Reasoning.