Choosing a career path is a crucial decision with lifelong implications. While traditional methods rely on self-assessment and external guidance, the emergence of AI and Machine learning has opened up a promising avenue for intelligent career guidance. This intelligent career guidance, powered by AI and machine learning models, not only suggests suitable career options but also provides deeply personalized insights by analyzing individual skills, interests, and personalities. This paper aims to inspire optimism about the vast potential of machine learning in intelligent career guidance, discussing various algorithms, data requirements, and the challenges we must overcome.
@artical{s1482025ijsea14081010,
Title = "AI-Powered Career Guidance: Personalizing Career Paths with Machine Learning",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "14",
Issue ="8",
Pages ="42 - 46",
Year = "2025",
Authors ="Shivangini Bihari, Md. Irfan Alam"}