International Journal of Science, Engineering and TechnologyAuthors: Brinceton Vaz, Khushboo Gupta, Dr. Jasbir Kaur, Mansi Rajapurkar, Ifrah Kampoo
Abstract: Artificial intelligence significantly increases the scalability and personalization in career guidance. However, the volatility in the education and job market mean these systems must stay highly relevant to a person's local economy and individual needs. This study examines AI-based career guidance systems through secondary research, synthesizing literature on recommendation systems, explainable AI, and counselling frameworks. While AI improves accessibility, skill matching, and response efficiency, its limitations in empathy and contextual judgment constrain its effectiveness for complex career decisions. Analysis indicates that a completely automated system is neither feasible nor desirable. Instead, a collaborative model where AI manages routine and data-intensive tasks while human counsellors provide interpretation, reassurance, and ethical oversight to help provide the most credible path forward. This research concludes that integrated counselling combining AI efficiency with human judgment represents the optimal direction for future career guidance systems.
DOI: http://doi.org/10.5281/zenodo.20771821
