Paper Title
Analytics And Prediction Over Student’s Record

Abstract-- University deals with large volume of electronic data related to student’s admission, results, attendance records, placements information and many others. The records are valuable and university can gain much information from it. The study is regarding outperforming analytics and predictions over student records. It consists of designing a computer aided prediction & analysis tool based model to analyse the latest trends and derive meaning full recommendations. The recommendations are useful in designing of new and better course schedule, teaching pattern, judgement of performance and motivation of students for better academic writing. In this paper, we are presenting the preliminary effort on the development of a predictive model that can forecast student performance and recommendations. Study would be performed on the current records and data present with university by doing factor analysis and correlating of data.