AI Powered Career Advisor: Bridging the Gap between the Aspirations and Opportunities

The job market is changing at an accelerating rate, creating challenges to both the future employees and organizations engaged in the hiring process. It is difficult for the majority of job applicants to make decisions about their careers based on guided advice from empirical observations because there are no suggestions based on empirical evidence. At the same time, organizations typically encounter challenges in selecting the appropriate candidates for particular positions. While traditional career guidance might pose some benefit, it typically fails to provide the tailored advice contemporary job seekers need. This study presents the promise of career guidance transfor- mation through the integration of an AI-based career advisory system. It utilizes machine learning, natural language processing, and deep data analytics to make informed recommendations based on an individual’s own strengths, interests, and prevailing labor market trends. It rigorously analyzes a wide scope of data covering occupational pathways, market forces, and key competencies, and thus empowers users to make knowledge-based choices about their professional growth. The research teaches us that AI may improve decision making, facilitate lifelong skill learning, and deliver targeted career guidance. AI technologies further have the power to democratize career guidance to eliminate disparities in tailored advice. By eliminating prejudices and enhancing career matching algorithms, AI makes informed and confident career choices possible. Finally, AI-powered career guide systems may revamp the career guide industry through scalable, flexible, and research- based solutions to employers and employment seekers.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-17
DOI
https://doi.org/10.22214/ijraset.2025.68837
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

AI Powered Career Advisor: Bridging the Gap between the Aspirations and Opportunities

Hoshin V. Gupta
1 citations
International Journal for Research in Applied Science and Engineering Technology
Artificial Intelligence in Healthcare and Education
0.65
article

AI Powered Career Advisor: Bridging the Gap between the Aspirations and Opportunities

Hoshin V. Gupta
article en
1 citations

Abstract

The job market is changing at an accelerating rate, creating challenges to both the future employees and organizations engaged in the hiring process. It is difficult for the majority of job applicants to make decisions about their careers based on guided advice from empirical observations because there are no suggestions based on empirical evidence. At the same time, organizations typically encounter challenges in selecting the appropriate candidates for particular positions. While traditional career guidance might pose some benefit, it typically fails to provide the tailored advice contemporary job seekers need. This study presents the promise of career guidance transfor- mation through the integration of an AI-based career advisory system. It utilizes machine learning, natural language processing, and deep data analytics to make informed recommendations based on an individual’s own strengths, interests, and prevailing labor market trends. It rigorously analyzes a wide scope of data covering occupational pathways, market forces, and key competencies, and thus empowers users to make knowledge-based choices about their professional growth. The research teaches us that AI may improve decision making, facilitate lifelong skill learning, and deliver targeted career guidance. AI technologies further have the power to democratize career guidance to eliminate disparities in tailored advice. By eliminating prejudices and enhancing career matching algorithms, AI makes informed and confident career choices possible. Finally, AI-powered career guide systems may revamp the career guide industry through scalable, flexible, and research- based solutions to employers and employment seekers.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Jaypee Institute of Information Technology (IN)
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
0.65
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AI Powered Career Advisor: Bridging the Gap between the Aspirations and Opportunities — Hoshin V. Gupta · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS