Saurav Kumar Singh, Mr. Ankit Singh, Priyanshu Nigam
Abstract
The modern world today has become so complex and requires higher level of carrer advice. The conventional carrier counselling methods does not give personalized and adaptive carrer path, it largely relies on human counsellors and standard test. The contemporary career guidance system is likely to be reinvented by means of the introduction of the use of Artificial Intelligence (AI) technologies, including Machine Learning (ML), Natural Language Processing (NLP), Big Data Analytics, and Learning Analytics (LA). AI based career advice systems will produce real time recommendation that will test etc, etc, etc in the job market and match the appropriate career alternatives with the current and future trends in the job market. The suggested AI model provides a dynamic and adaptive career suggestions system through the integration of ongoing skills analysis, current labor market statistics, and user profiling into great detail.
Keywords
Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Big Data Analytics, Learning Analytics (LA), Career Counseling, Market Trends, Decision Transparency, Dynamic Career Recommendation System.
Conclusion
The rapid transformation of the labor market demands innovative approaches to career counseling that go beyond traditional, generalized methods. This study highlights how artificial intelligence, particularly through cloud-based and collaborative models, can provide personalized, dynamic, and scalable career guidance. By leveraging technologies such as machine learning and natural language processing, AI-driven platforms are capable of analyzing vast datasets to deliver tailored recommendations aligned with individual aspirations and evolving workforce needs.
Moreover, the integration of multiple stakeholders—students, parents, educators, and industries—ensures that career decisions are informed, holistic, and future-oriented. While AI offers significant promise in enhancing career counseling, further research is required to address challenges related to ethics, privacy, and long-term impact. Ultimately, the adoption of AI-powered systems can bridge the gap between education and employment, preparing learners more effectively for the complexities of the modern labor market.
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How to Cite This Paper
Saurav Kumar Singh, Mr. Ankit Singh, Priyanshu Nigam (2026). CAREERTRAJECTORY: AI-Enhanced Career Guidance System. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
