Smart Career Advisor Using Machine Learning
Mrs. D. Urlamma · International Journal for Research in Applied Science and Engineering Technology · 2025
Abstract: Determining the ideal career path is a significant milestone in a student’s life. Unfortunately, students often face a lack of proper career counselling and awareness about options that align with their individual talents and preferences. This paper introduces a Smart Career Advisor built on machine learning principles to address these gaps. Leveraging models like Random Forest and XGBoost, the system analyses user-specific data such as academic records, interests, and skillsets to provide accurate, customized career suggestions for different education levels, including 10th, 12th, Diploma, Graduation, and Post-Graduation. The objective is to empower students with data-driven insights to make informed decisions about their careers.