AI-POWERED CAREER GUIDANCE FOR DIPLOMA STUDENTS

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Gajendra Vasudev Manchal
Anjali Amar Kamble
Gaurishankar Sangappa Bichkunde
Ubaidullah Muzaffar Ahmed Shaikh
Nitin Chandrakant Mali
J. C. Sachdev

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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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