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Abstract
This research paper focus on the significance of utilizing student information to make a change in planning the education. Furthermore, it describes the advancement of a tool that will allow faculties to classify the students in view of pastacademic performance which is measured with the help of Term Grade point Average (TGPA) reviews of the first semesterand to know in detail the factors which affects the grade point that later leads to dropout. In this paper we have outlined a Fuzzy Inference System that compute a student performance of the first semester and dropout rate as most of the students drop the college in the first semester. There are number of reasons which deviates a student from his/her academics which results in poor academic performance. A sequence of factors should be taken in consideration that is, when to identify the affecting factors which affects the academic performance of the student. The challenging job is therefore to find that affecting factor which affects the quality of academic performance and dropout