Machine Learning Enabled Personalized Career Guidance for School Students

Abstract

After the tenth grade, students must make a critical decision about their careers, but many are confused by the lack of appropriate and individualized guidance. It can be challenging for students to select the best course of action because traditional career counseling techniques are frequently generic and offer the same recommendations to every student without taking into account their unique interests, abilities, and strengths. As a result, a student-centered career counseling system that offers tailored suggestions is required. With the help of machine learning (ML) techniques, this proposed work seeks to create a customized career guidance platform for schoolchildren, particularly those finishing the tenth grade. Through assessments, the system examines students' interests, skills, subject knowledge, and personalities. It suggests suitable career paths and streams such as Science, Commerce and Arts.