International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In today’s fast-evolving academic and professional landscape, students and graduates face numerous challenges when selecting the right career path. Traditional counselling methods are often generic and unable to cater to individual aspirations, skills, and interests. This paper presents the development of a “Smart Career Counsellor” — an AI-driven system designed to provide personalized career guidance using data analytics and machine learning. The system collects data from users through interactive questionnaires assessing academic performance, skills, and personal preferences. Based on this information, it generates tailored career recommendations and learning paths. The proposed model integrates Artificial Intelligence algorithms, Natural Language Processing, and predictive analytics to enhance accuracy and adaptability. The study aims to bridge the gap between education and employment by providing data-driven insights for informed decision-making. The Smart Career Counsellor demonstrates how AI can transform career guidance into a more efficient, objective, and personalized experience for students and graduates, ultimately supporting their professional success in a technology-driven world.

Keywords: Artificial Intelligence, Career Counselling, Machine Learning, Personalized Guidance, Student Career Planning, Data Analytics, Smart System, Predictive Analysis, Educational Technology, NLP-based Recommendation

Downloads: | DOI: 10.17148/IJARCCE.2025.14933