International Journal of Scientific Research and Engineering Development

Career selection is a critical decision that significantly impacts an individual’s professional growth and life satisfaction. Traditional career guidance methods often rely on manual counseling, static assessments, and limited data analysis, which may not effectively address individual skills, interests, and evolving industry demands. This paper proposes an AI-Powered Career Guidance System that leverages machine learning and data analytics to provide personalized career recommendations. The system analyzes user academic performance, skills, interests, and personality traits to suggest suitable career paths and learning recommendations. Experimental results demonstrate that the proposed system improves recommendation accuracy and supports informed career decision-making.

Nisha B B,"AI-Powered Career Guidance System" International Journal of Scientific Research and Engineering Development, V9(1): Page(913-914) Jan-Feb 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.