Pre-placement prediction system using machine learning

Abstract: In this work we present a approach for shortlisting candidates for a particular job position. Every company invest a lot of money and time for recruiting people to fill some specific positions. They invest a lot of resources finding a appropriate candidate but the total invest become loss if the candidate do not join the company after completing the entire process. The main aim of this research is to predict joining efficient candidate with minimum cost and time by using the attributes like number of hackathons given, skills, internship, salary expectation and preferred job location using the machine learning algorithm to build a model Key Words: Machine Learning, decision tree, K-nearest neighbors, Random forest