AI-based career counsellor: An AI driven career advisor

Thakare, Yungandhara Ashok and Satote, Rutuja Rajesh and Kenkar, Sharvari Anil and Nathile, Samarth Rajeshrao and Watane, Sarthak Ashokrao and Hade, Shraddha Chandrashekhar (2025) AI-based career counsellor: An AI driven career advisor. International Journal of Science and Research Archive, 15 (1). pp. 1013-1023. ISSN 2582-8185

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.