Career decision-making is a critical milestone in a student’s academic and professional journey. Traditional counseling relies heavily on human expertise and subjective assessments, which can be time-consuming and inconsistent. Recent advancements in artificial intelligence (AI) and machine learning (ML) provide opportunities to automate and personalize career guidance. This paper presents an AI-powered career guidance system that predicts suitable career paths based on academic performance, skills, and interests. A Random Forest classifier achieved 88% accuracy on a dataset of 1000 anonymized profiles. The system includes a web-based interface, ranked recommendations, required skills, and learning resources. Comparative analysis with SVM and Decision Tree classifiers is provided. Future enhancements include integrating personality traits, NLP, and live job market analytics. Our proposed system demonstrates a scalable, unbiased, and accurate AI-based career guidance solution.
Keywords
Career Guidance, Machine Learning, Random Forest, SVM, Decision Tree, AI, Recommendation System
