| Summary: | This study aims to suggest a recommender System for undergraduate students who desire to seek admission intoengineering courses in different Indian Institute of Technology (IITs) in India. Initially, the focus is to purpose arecommender system for admission into the top 10 IIT on a pilot basis in four common branches such as ElectricalEngineering, Computer Science and Engineering, Mechanical Engineering, Civil Engineering. Data were collected fromdifferent authentic sources from 2016 to 2018. A model was built to predict the ranks for 2019 for each branch of everyIITs. This paper illustrates prediction using Time Series Forecasting and recommendation algorithm using classificationtechniques. A comparative study of Random Forest Classification and K-Nearest Neighbor classification has been done.Finally, the recommendation algorithm shown reliable results with high accuracy in prediction model. It can be diversifyand implement other streams as part of future work.
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