International Journal For Multidisciplinary Research

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AI-Based Career Path Predictor

Author(s) Mr. Darsh S Basanale, Mr. Channaveer N Math, Mr. Rahul P Harkanchi, Mr. Akhilesh K Rathod, Prof. Kaveri Kori
Country India
Abstract ABSTRACT- Choosing an appropriate career path is becoming more and more complicated due to the rapid expansion of educational opportunities, emerging job roles, and social as well. as economic pressures. Many students make career decisions without adequate awareness of their interests, skills, and long-term opportunities, which may eventually cause dissatisfaction. academic failure, or frequent switching of courses. Artificial Intelligence and Such decisions can be supported in a data-driven manner by Machine Learning. This paper aims to present an AI-based conceptual career path predictor using student data, including academic performance, interests, skills, and background information This will help in recommending apt career paths. Detailed review of existing work on career Among guidance systems, career path prediction, and educational data mining, we propose a framework that couples the supervised learning models with a questionnaire-based data. collection process. The predicted career options are presented as top-ranked paths along with explanations derived from model features. The paper discusses the possible advantages, challenges, and limitations of such a system, including data quality, bias, and ethical considerations. The work draws inspiration from and expands upon ideas already given in existing It includes studies like 'Career Path Prediction Using Machine Learning' by Gavhane et al., 2020. and literature related to the prediction of student performance and career guidance
Field Computer > Data / Information
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-03
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62337
Short DOI https://doi.org/hbdsht
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