Survey on Virtual Recruitment System

Abstract

After the recent wave of covid, many companies are yet to shift their focus on recruiting candidates directly through in-campus recruitment. Many companies still do prefer the online way of conducting interviews on platforms like meet, zoom, etc. Even forms are shared to apply to a particular company and many more variable methods. Due to this rising uncertainty, the online recruitment system has started gaining more popularity. However, this procedure presents difficulties for recruiters in managing the flood of applications and maintaining contact with the applicants. Previously, such recruitment systems were inefficient and lacked many parameters like accuracy, not upgraded and not frequently managed. Therefore, there was a need to build a website which is capable of handling all the recruitment related activities. With the help of AI-ML techniques it has become possible to rank students according to the requirements of the companies. We discuss the features and research gaps for each method in applying Machine learning and other techniques for enhancing the recruitment process.