Efficient Hiring Analysis and Management Using Artificial Intelligence and Blockchain

Abstract

The analysis of interviewing a candidate is a crucial part of building an efficient team for any organization. The right choice can effectively help produce quality work. As the interviewing environment is diversified into online and offline, based on the recent pandemic issues. The tracking of individuals validity and their work quality is often unclear. This has created a substantial loss for the organization choosing wrong candidates during this interview process. There are several hardships through remote hiring, where companies often find it difficult to validate their real identity due to proxysomeone else speaks in the background. Whereas offline hiring sometimes does not produce potential initial screening, making it difficult to find the right candidate. To solve all these hiring issues and help both companies and candidates we are producing a potential algorithm which helps review candidates and analyses their curriculum vitae and monitors the candidates throughout the interview process and furnishes detail report. The report will provide the candidates technical ability, culture fit data and many more factors that help choose the best one for the open position. The candidates can also reproduce such data along with their resume to companies to strengthen their ability of talent. This helps job searching candidates monitor and work through the gaps and make the best out of their skillset. The obtained data can be stored on to blockchain based on candidates’ choice, where several hiring organizations can find talents with less efforts.