Institutional Recommendation and Ranking System Based on Integrated Datasets and Analysis

In present time there are numerous institutions around the globe, in order to attract the youth every institute claims to be best. But while choosing a right institution it proves to be a big hardship due to lack of relevant and trustable information. In this paper, we aim to set up a multilevel fusible transparent recommendation and ranking system module based on analysis of integrated datasets collected from students and staff members. The purpose is to ensure the fulfilment of academic and co-curricular parameters for the overall development as well as to assist students and teachers to predict a best fit institution with the help of data mining techniques. On the other hand, we believe to promote the fairness among the institutional network and promotes healthy competition.