AI-powered Career Guidance System

Choosing the right major at an early age can be overwhelming. In addition, career advising is limited in many schools. Studies show that among the factors that affects career selection are personal attributes, passion, and career exploration activities. In this study, we present an AI powered application utilizing Flutter and Virtual Reality (VR) technology to assist high school and university students in making informed career choices. The application provides personalized career recommendations based on personality tests. The study analyzed a publicly available dataset combining the results of Big Five personality test with personal information including the study majors. Synthetic Minority Oversampling Technique (SMOTE) was employed to handle class imbalance. Multiple classification models (Random Forest, Gradient Boosting, Decision Tree, Naive Bayes, and KNN) were tested. Our findings demonstrate that the Random Forest classifier, achieved better performance with an accuracy of 87.3% and an AUC-ROC of 0.99.