Detection of Face Recognition of Interviewee Using Transform Technique and Machinle Learning Algorithm

Abstract

A crucial task in any firm is the hiring of new personnel. Virtual interviews have replaced face-to-face interviews as the norm since the Pandemic. Knowing the sincerity of the interviewee while applying to the company becomes a significant task in such a situation. The practice of manually comparing a candidate's face from many interview rounds to the actual candidate joining the organization is being used by interviewers. I want to automate this human process, using machine learning techniques to aid the interviewee's sincerity be established. Machine learning techniques will be used in this procedure to find and identify faces in pictures taken during the first round of interviews. Then compare it later to the real face that was photographed at the time of joining. If all of the visuals line up, it establishes the interviewee's sincerity. And if they don't match, management can take the necessary steps offline. This project will be conceived up and explored from the standpoint of how and whether Python may be used to implement.