Department of Computer Science and Engineering, Sipna College of Engineering and Technology, Amravati, India.
International Journal of Science and Research Archive, 2025, 15(01), 1013-1023
Article DOI: 10.30574/ijsra.2025.15.1.1088
Received on 04 March 2025; revised on 14 April 2025; accepted on 16 April 2025
Career decisions are some of the most complex decisions a person makes, and, unfortunately, young people are unprepared to make one of the most important decisions in life. This paper aims at designing a prototype of an artificial intelligence-based career counselling system specifically for the secondary level students. The system consists of an artificial intelligence-based service personalized on the basis of collected data.
The study emphasizes the need to develop technologically enhanced and easy-to-navigate platforms to provide better career information, especially for minority and rural area populations. Accordingly, the research seeks to integrate technological advances with regular career counselling approaches to help the students with the relevant tools that would enable them to attain desirable and successful careers.
AI can enhance career guidance systems by providing assessments that evaluate student's interests, skills, and personality traits. These assessments help identify suitable career paths based on individual profiles and aptitudes, enabling personalized guidance that resonates with each student's unique qualities. Traditional and manual procedures of career guidance as well as counselling require a lot of manpower and resources, while the automated process with the help of intelligent systems like AI has a great scope.
Career Guidance; Counsellor; Artificial Intelligence; Advisor; Personalized
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Prof. Yungandhara Ashok Thakare, Rutuja Rajesh Satote, Sharvari Anil Kenkar, Samarth Rajeshrao Nathile, Sarthak Ashokrao Watane and Shraddha Chandrashekhar Hade. AI-based career counsellor: An AI driven career advisor. International Journal of Science and Research Archive, 2025, 15(01), 1013-1023. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.1088.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







