AI-POWERED CAREER GUIDANCE FOR DIPLOMA STUDENTS

Authors

  • Gajendra Vasudev Manchal Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Anjali Amar Kamble Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Gaurishankar Sangappa Bichkunde Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Ubaidullah Muzaffar Ahmed Shaikh Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Nitin Chandrakant Mali Diploma Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • J. C. Sachdev Lecturer, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India

Abstract

Navigating career choices can be a daunting task for parchment scholars, frequently leading to confusion and query about their unborn paths. This paper presents an AI- powered career guidance system designed to give individualized recommendations acclimatized to the academic background, chops, and interests of parchment scholars. By using Gemini AI, the system conducts intelligent analysis of pupil biographies, identifies skill gaps, and offers real- time job request perceptivity to enhance employability. The result is erected using Python, Kivy, and Flask, icing a flawless and scalable stoner experience. Also, the system aims to ameliorate pupil confidence and decision- making by furnishing data- driven career suggestions. A airman perpetration is planned across polytechnic institutions in Southeast Asia to assess its effectiveness. The study highlights the eventuality of AI in career comforting and outlines unborn advancements, including integration with educational institutions and AI- powered mentorship programs.

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Published

2025-04-13

How to Cite

Gajendra Vasudev Manchal, Anjali Amar Kamble, Gaurishankar Sangappa Bichkunde, Ubaidullah Muzaffar Ahmed Shaikh, Nitin Chandrakant Mali, & J. C. Sachdev. (2025). AI-POWERED CAREER GUIDANCE FOR DIPLOMA STUDENTS. JournalNX - A Multidisciplinary Peer Reviewed Journal, 11(4), 19–27. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/5542

Issue

Vol. 11 No. 4 (2025): Journalnx

Section

Articles

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