Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{176376,
        author = {Mohmmed Rayyan and Maheswari M and Adithyan K and Keabahayden P},
        title = {Smart Career Mapping: AI and NLP for Personalized Career Recommendations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7805-7812},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176376},
        abstract = {Selecting a suitable job nowadays is not an easy task and more so when one is significantly experiencing the conflict akin to an overcrowded modern world whose career demands constantly change with each emerging industry presenting a unique and perhaps complicated demand for certain skills. Thus, one of the main tasks in the career guidance domain is to offer appropriate primary career choice suggestions to students by applying the concepts of automated and personalized ways. This work presents a comprehensive analysis of different AI techniques of career recommendation with an emphasis on machine learning/ deep learning. These approaches focus on a set of pre- and post-quiz, skills, interests, and personalities to match the individuals to suitable careers. More effective decision-making is facilitated through the application of AI within career planning, given that individual recommendations are more accurate.},
        keywords = {Career Guidance, AI-Powered Career Prediction, Natural Language Processing (NLP), Career Recommendation System, Adaptive Learning, Intelligent Decision-Making, Personalized Learning Path, AI in Career Counseling.},
        month = {May},
        }