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  Published Paper Details:

  Paper Title

  Authors

  Harshada Ghate,  Shreya Mishra,  Sampada Shankar,  Shreya Kumar,  Rizwana S

  Keywords

AI, Career Counselling, Job ready, Skills, STEM, Random Forest Classifier, Machine Learning, Personalised Counselling

  Abstract


The development of AI-based counselling in the domain of the STEM field plays a pivotal role by helping the students to make the right career decisions and also learn appropriate skills required in the industry. This paper highlights the significant benefits of such a system, which includes its ability to faster decision-making and enhance the accuracy of reliable decision making. This report analyses the current processes in detail and addresses different approaches, techniques, methods and challenges in the domain of AI-powered career counselling. While using the ideologies used in various other systems, the paper proposes a comprehensive model based on random forest distribution to accurately predict the career according to the user interests providing key information such as work experience, cognitive skills and relevant credentials and helps them in learning appropriate skills required in the industry and making them job ready.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2507233

  Paper ID - 290568

  Page Number(s) - c79-c87

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Harshada Ghate,  Shreya Mishra,  Sampada Shankar,  Shreya Kumar,  Rizwana S,   "STEM Career Guidance", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.c79-c87, July 2025, Available at :http://www.ijcrt.org/papers/IJCRT2507233.pdf

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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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