Deciphering Descriptors-Understanding Personality Beyond Resumes Using Machine Learning Algorithms

Recruiters face challenges in accurately evaluating candidates, with reliance on resumes alone hindering effectiveness. Predicting personality traits and assessing technical and soft skills pose additional hurdles, leading to inefficient selections and potential mismatches. To address this, a system integrating personality prediction via machine learning and resume analysis is proposed. Using a random forest model, candidate personality traits are predicted from standardized tests, encompassing dimensions like extraversion and conscientiousness. Simultaneously, the system conducts in-depth resume analyses, extracting qualifications, work experience, and interpersonal skills. By considering personality-job compatibility, this system offers comprehensive insights for informed decision-making, enhancing recruitment efficiency and reducing mismatches.