Personality Prediction Based on Ocean Model Using AI |
Author(s): |
| Sujata Ashok Chechare , International Centre of Excellence in Engineering and Management; Sayali Dilip Desai, International Centre of Excellence in Engineering and Management; Swapna Ramdas Yendole, International Centre of Excellence in Engineering and Management |
Keywords: |
| Machine Learning, Artificial Intelligence, K-Means Clustering, Yellowbrick Clustering |
Abstract |
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The application of ocean-inspired models for predicting personality traits using Machine Learning (ML) and Artificial Intelligence (AI) represents an emerging interdisciplinary domain that integrates psychology, computer science, and physics. The Ocean Model theory conceptualizes personality traits as interconnected dynamic patterns, analogous to ocean waves that continuously rise and recede over time. By examining these evolving patterns and fluctuations through ML and AI techniques, it becomes possible to infer and predict individual personality traits with a significant level of accuracy. This abstract provides an overview of the Ocean Model framework, explores its potential use in personality assessment, and discusses the associated challenges and limitations of this methodology. |
Other Details |
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Paper ID: IJSRDV13I110031 Published in: Volume : 13, Issue : 11 Publication Date: 01/02/2026 Page(s): 36-40 |
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