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Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II

Research Article

Enhanced Career Guidance System: A Smart Approach to Personalized Career Planning

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  • @INPROCEEDINGS{10.4108/eai.28-4-2025.2357970,
        author={R  Keshma and S  Yuvaraj and P  Geetha and T  Grace Shalini},
        title={Enhanced Career Guidance System: A Smart Approach to Personalized Career Planning},
        proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II},
        publisher={EAI},
        proceedings_a={ICITSM PART II},
        year={2025},
        month={10},
        keywords={ai career counseling personalized suggestions psychometric testing sdq weighted system career monitor machine learning professional enhancement},
        doi={10.4108/eai.28-4-2025.2357970}
    }
    
  • R Keshma
    S Yuvaraj
    P Geetha
    T Grace Shalini
    Year: 2025
    Enhanced Career Guidance System: A Smart Approach to Personalized Career Planning
    ICITSM PART II
    EAI
    DOI: 10.4108/eai.28-4-2025.2357970
R Keshma1, S Yuvaraj1, P Geetha1,*, T Grace Shalini1
  • 1: SRMIST, India
*Contact email: geethap4@srmist.edu.in

Abstract

The rise of artificial intelligence (AI) and data analytics has ushered in a new era for career guidance, offering personalized advice based on individual skills, interests, and evolving job-market demands. Traditional career counseling often fails to address the dynamic nature of the job market and personal preferences holistically. To overcome this limitation, we propose an AI-driven career guidance system that integrates machine learning and psychometric assessments to provide a personalized career recommendation framework. The system employs a weighted model that combines psychometric tests such as the Strengths and Difficulties Questionnaire (SDQ) and the Career Personality Profiler, along with an analysis of factors such as skills, interests, personality traits, and industry needs. The system delivers immediate, actionable feedback, offering tailored career paths and highlighting potential skill gaps. Through real-time career monitoring and personalized insights, this approach helps users make informed decisions, ensuring greater career satisfaction and development.

Keywords
ai, career counseling, personalized suggestions, psychometric testing, sdq, weighted system, career monitor, machine learning, professional enhancement
Published
2025-10-14
Publisher
EAI
http://dx.doi.org/10.4108/eai.28-4-2025.2357970
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