In this pandemic it will be hard for organizations to conduct face-to-face interviews. As an option, online enlistment is done. It's hard to pass judgment on an interviewee's character online. So our intention is to distinguish an individual's character by taking photographs of the interviewee at random time during the recruitment process. There is adequate confirmation that analysis and expressive signals in a human face offer hints of a human person. So with that, we are deducting an individual's character utilizing Convolutional Neural Network (CNN) algorithm and facial width-to-height ratio (fWHR). Additionally, a questionnaire with situational questions is used to identify the level of each personality within a person. Questionnaire based personality prediction is achieved using K-Means clustering algorithm. By combining the conclusion of both the approaches we predict the highest personality that a person possesses among the big five personality traits. Thus, it will be a gigantic help for the recruitment process. It's more advantageous for organizations and interviewees to have recruitment online. It's because anyone from anywhere could attend interviews. Hence time and money could be saved. Thus, we provide our support for the organizations to keep continuing with online enlistment even after this pandemic.