OUTERVIEW A TECHNICAL RECRUITMENT PROCESS

Abstract

The present interview system is biased over a candidates performance in a 3-hour interview but then it does not take into account other factors that prove beneficial such as the candidates competitive coding skills, real-time project capabilities, contribution to the open source development community and so on. Here, with the help of OUTerview, a software application that gets access of the candidates publicly available resources such as GITHUB, STACK OVERFLOW, HACKEARTH, etc. Furthermore, it scrapes the data available and generates a scoresheet that gives an overall assertion about their technical abilities, coding skills and the kind of languages used to prototype. On the other hand, a model is trained to predict the churn rate and the satisfaction rate of the employee in the company post getting hired while another model is trained with a genetic algorithm that assigns the candidate to the rightful and respected team.