Personality Prediction Using ML And NLP

“Personality Prediction Using ML And NLP”

1. Prof. Afsha Akkalkot,2. Abhishek Nagarkar,3.Shrikant Nagawade,4.Rahul Rale,5. Suraj Raut

1Assistant Professor, Department of Computer Engineering, Zeal college of engineering and research narhe pune.

2,3,4,5Students, Department of Computer Engineering, Zeal college of engineering and research narhe Pune

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Abstract: Predicting an individual’s personality can help to understand different aspects related to them such as how do they deal with stress, openness to social activities, and if they influence others. One of the key characteristics that affects how people interact with the outside environment showcases their personality. Personality prediction systems have gained significant attention due to their potential applications in various domains, including psychology, marketing, job recruitments, and human resources. Traditional approaches to personality prediction primarily rely on manual evaluation of self-reported questionnaire, which suffers from several limitations. The limitations include subjectivity biases, potential social desirability effects, and time-consuming data collection processes. This project aims to leverage Machine Learning (ML) and Natural Language Processing (NLP) techniques to predict personality traits of an individual using questionnaire responses. Personality prediction system has been implemented based on Myers-Briggs Type Indicator (MBTI) model which is a popular personality prediction framework. The model consists of 16 personality types based on combination of 4-pairs of personality traits.

Keywords: Personality Prediction, Machine Learning, Natural Language Processing, Myers-Briggs Type Indicator.