An Intelligent Job Recommender System for Career Pathing

Abstract

Choosing a career is a significant challenge for students and job seekers. This is largely due to changing industry needs and a wider variety of skill requirements. Traditional career guidance often depends on fixed assessments and manual counselling. These methods frequently do not offer personalised or data-driven recommendations. This paper introduces an Intelligent Job Recommender System for Career Pathing. It uses machine learning and artificial intelligence to predict suitable job roles based on an individual's skills, interests, and abilities. The system gathers user responses through a structured career assessment quiz and uses a supervised machine learning classification model to recommend appropriate job roles. An AI-driven chatbot is also included to give personalised career guidance, suggestions for skill improvement, and roadmap advice. The proposed system improves decision-making accuracy, scalability, and accessibility, providing a user-friendly platform for career planning. Experimental evaluation shows that the system delivers accurate and relevant job recommendations, helping users make informed career choices.