Analyzing Student Profile using Myer Briggs Type Indicator

This research paper presents a meticulous examination of student profiles using the Myers Briggs Type Indicator (MBTI). Data from 1000 students were collected through a Google Form, featuring specially crafted questions with input from a psychiatrist. Among the datasets, 816 were considered valid, marking a substantial increase compared to previous studies. Validation by a psychiatrist demonstrated an exceptional accuracy rate of 92.35 percentage, surpassing studies lacking such validation, and included gender based classification. The research process encompassed various stages: data collection, preprocessing, feature extraction, application of the Navi Bias algorithm, k means clustering, prediction, and validation. Each step is detailed in the paper, underscoring its significance in student profile analysis. The proposed methodology underscores the distinctive approach of this research, with the aim of contributing valuable insights to the existing knowledge on student profiling. In summary, this paper provides a clear purpose of the study, outlines the methodology and techniques employed, highlights major findings, offers a summary of interpretations, and discusses implications for future research and educational practices.