Abstract. The National Institutional Ranking Framework (NIRF) is a ranking framework followed nationwide and adopted by the Educational Ministry, Government of India, for ranking Higher Education Institutions (HEIs) and envision students to better choose their higher educational arena. This nationalized Framework was ratified and launched by the Minister of Human Resource Development. Since 2016, NIRF publishes 100 HEIs in ranking order based on multiple parameters like teaching, learning, research and many more.In this paper, we identify crucial parameters which influence the overall score of an institution. Our proposed deep learning architecture which employs Neural Network predicts with the improvement of what parametric value, an HEI could rise up the ladder in the ranking framework. Furthermore, we implement our work using Orange data science toolkit followed by python framework and elaborately discuss the results.

Keywords: Deep Learning, National Institutional Ranking Framework, Neural Networks

| DOI: 10.17148/IARJSET.2021.8841