International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Myers-briggs Personality Prediction using Machine Learning Techniques

Author(s) Ankur Vipin Sheth, Dev Rohit Pandhare
Country India
Abstract The Myers-Briggs Type Indicator (MBTI) is a popular and widely used personality assessment tool that categorizes individuals into one of sixteen different personality types based on their preferences for certain psychological traits. This makes MBTI a fascinating subject for research in the fields of psychology and artificial intelligence. Machine learning has advanced significantly in recent years and has become a powerful tool for predicting outcomes based on data. By using machine learning algorithms to analyse data from MBTI tests, researchers can potentially identify patterns and develop models that accurately predict an individual's personality type based on their responses to the test. The ability to predict an individual's personality type could have a range of practical applications, such as in the workplace or in personalized marketing. For example, employers could use personality predictions to build more effective teams, while marketers could use them to tailor advertisements and products to specific personality types.
Keywords MBTI
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-01-06
Cite This Myers-briggs Personality Prediction using Machine Learning Techniques - Ankur Vipin Sheth, Dev Rohit Pandhare - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11660
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.11660
Short DOI https://doi.org/gtdr7k

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