Personality prediction system using Machine Learning (ML)
Abstract:
There is growing interest in personality prediction by organization to better understand the diversity of responses of candidates to similar circumstances. Personality traits are the relatively enduring patterns of thoughts, feelings and behavior that reflect the tendency to respond in certain ways under certain circumstances. Evaluating individualβs personality trait and intelligence from their faces play a crucial role in interpersonal relationship but through this we cannot depict the exact personality trait. In this application, we propose an advanced APC β automated personality classification system. We here use learning algorithms along with advanced data mining to mine user characteristics data and learn from the patterns. This learning can be used to classify, predict user personality based on past classifications. The system considers huge customer characteristics and behaviors and based on the patterns observed, it stores its own user characteristics patterns in a database. The system now predicts new user personality based on personality data stored by classification of previous user data.
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