Department of Computer, Sanghavi College of Engineering, Maharashtra, India.
International Journal of Science and Research Archive, 2026, 18(02), 108-115
Article DOI: 10.30574/ijsra.2026.18.2.0207
Received on 20 December 2025; revised on 01 February 2026; accepted on 03 February 2026
The analysis of personality traits using Machine Learning (ML) and Artificial Intelligence (AI) constitutes an emerging interdisciplinary field that brings together principles from psychology, computer science, and physics. The Ocean Model conceptualizes personality traits as dynamic and interrelated patterns, comparable to ocean waves that continuously form and dissipate over time. By leveraging ML and AI techniques to analyze these evolving patterns and fluctuations, it becomes feasible to infer and predict individual personality characteristics with a high degree of accuracy. This abstract presents an overview of the Ocean Model framework, examines its applicability in personality assessment, and discusses the challenges and limitations inherent in this approach.
Machine Learning; Artificial Intelligence; K-Means Clustering; Yellow brick Clustering
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Tanvi Dashrath Bhagat and Sandeep R. Jadhav. Personality prediction using AI. International Journal of Science and Research Archive, 2026, 18(02), 108-115. Article DOI: https://doi.org/10.30574/ijsra.2026.18.2.0207.
Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
