Personality prediction through CV analysis using machine learning techniques

Organization wants to recruit expert candidates for their development. Yet, the primary worry for them is choosing the right candidate for a particular position. Traditionally, they were following the method to go through the candidates' CVs or resumes and recruit them. But nowadays, it's not possible to follow this method as every year, they receive a lot of applications, and it will be difficult for them to go through all the applications and recruit the best candidates. As the corporate present reality doesn't focus only on the abilities a potential worker has yet in addition their overall personality. Personality is what that assists one with achieving success in professional as well as in personal life. Subsequently, the Recruiter or the HR Department should know about the character qualities an applicant has. With a remarkable expansion in job searchers yet a diminishing in the quantity of positions, it is challenging to waitlist the best fit possibility for a suitable work by taking a gander at the CV physically. In this paper, the proposed system assists with enlisting the right up-and-comers by parsing the information in CVs and resumes and by leading tests to foresee personality of the applicant. Calculated Relapse is utilized to construct the model that will parse the information. Along these lines, the model assists with tracking down the character and subtleties of the applicants, like abilities, experience, and so on. Utilizing this framework, associations can find master candidates and make the enlistment office's work more straightforward. This paper endeavours to look at changed AI-ML approaches for proficiently anticipating character/personality through CV Analysis.