Campus Recruitment Management System

The availability of information and the facility for the user to take action on the information collected
have been revolutionized by the use of the Internet and the World Wide Web. The placement process can be
managed using the internet which arises a need to develop a web-based placement management system
specifically by the recruiters and the software engineers that can be used as a Recruitment system (Online TnP
portal). This system can be used as an application for both candidates and recruiters. Advanced features for
recruiters are available as they can shortlist candidates for further rounds according to their requirements on the
basis of the probability obtained. The current recruitment system recruiters do not possess candidate information
apart from his/her CV. This proposed system aims to analyze the candidate performance and recommend
candidates fittest for the job using Random Forest Regressor algorithm that will help to maximize the placement
probability of candidates easing the recruiter’s task. Random Forest builds multiple decision trees and merges
them together to get a more accurate and stable prediction. This system will provide ease and efficiency in
recruitment process.