Hiring and Recruitment Process Using Machine Learning

Abstract

In today's competitive world, it is a very complicated process to hire candidates with manual verification of resumes. This work is an experimental method for ranking of hiring resumes because manually ranking is quite a complicated job for the hiring team, as it takes more time to go through each of the candidates resumes. If the resumes are high in number then man power will also increase for the same task. To rectify these problems a new solution has been proposed. In order to make this whole hiring process more effective, an application for processing the resumes using machine learning is proposed. This work uses methods such as optimizing the candidates' performance in the preferred skill mentioned in the resume and also ranking method to display the selected candidates based on their overall performance according to the skill requirement of the company's required job position. In order to verify whether the information given by the user it will check the course completion certificate for the preferred skills given by the user. To check the details in resume, optimizing the user skills and ranking the candidates, machine learning algorithm is used. The whole idea is implemented using python language and the results are sure to make the recruitment process efficient.