Abstract
Abstract: Personality detection has become an important area of research due to its potential applications in various fields such as marketing, psychology, and human resource management. In this paper, we present a personality detector that utilizes the Big Five personality traits model to analyze and predict the personality traits of individuals. The Big Five personality traits model is widely used in personality psychology, and it consists of five dimensions: openness, conscientiousness, extraversion, agreeableness, and neuroticism. Our system utilizes a machine learning algorithm that analyzes various features such as text, social media posts, and speech to predict an individual's personality traits. The front-end of the system is developed using Python and Django, making it easy to use and accessible to anyone with an internet connection. We evaluated our system using a dataset of 1000 individuals and achieved an accuracy of 85% in predicting their personality traits
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More From: International Journal for Research in Applied Science and Engineering Technology
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