Artificial Intelligence (AI) Powered Algorithms and Model for Career Guidance System Development and Evaluation

Abstract

Choosing a suitable career is one of the most critical decisions in an individual’s life, yet increasing career options have made this process more challenging for students. About 40% of students are unsure about their career possibilities, per a survey by the Council of Scientific and Industrial Research (CSIR). This has resulted in the wrong career choice in a field that was not intended for them. To avoid the repercussions of making the wrong job choice, it is crucial to make the proper career option at the right age. The purpose of this research is to develop an Artificial Intelligence powered career guidance system to overcome traditional counseling limitations like lack of personalization and outdated methods to assist the students in selecting the suitable career path. The proposed system is a web application that integrates the Big Five Personality Traits model and Artificial Intelligence algorithms to provide tailored career recommendations based on users' skills, interests, and personality assessments. Six machine learning models were evaluated, with the Decision Tree achieving the best performance at 97% accuracy, along with high precision, recall, and F1-scores. Usability testing with 55 participants evaluated the system in real-world conditions, using the Questionnaire for Website Usability (QWU). The results showed a high user satisfaction of 81.8%, emphasizing the system’s accessibility, ease of use, and effectiveness in providing personalized career recommendations. The results demonstrate the potential of AI-powered career guidance to assist users in making informed career decisions.