Leveraging Curriculum Vitae Analytics For Psychometric Profiling
Abstract
In the fast-paced business world we have today, picking the capable applicant for a job is super important for a company’s growth. This project introduces a way to make hiring, training, & managing workers easier. It uses Natural Language Processing (NLP) along with the Big Five Traits Model. They are extraversion, agreeableness, neuroticism, openness, and conscientiousness. These are known psychological factors that help us understand a person’s personality well.
By looking at candidates' resumes and other texts, this system checks not just their qualifications and experience but also their personality traits. This means it gives a more complete view of whether someone is fit for a specific job. It can pull out valuable information from messy data. This method lightens the load for HR teams by automating parts of the screening process. It helps administrators sort & compare candidates easily based on their personality scores. The results can be saved in Excel sheets. This makes future comparisons easier and helps in smarter decision-making. In the end, this project hopes to improve how hiring & training happen while also keeping employees longer by placing the right people in the right jobs. This contributes to making the whole organisation work better and succeed overall.
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