AI Based Personalized Recommendation of Career Guidance for Students

Abstract

This paper is devoted to solving the problem of determining the career guidance of student using Artificial Intelligence systems. This paper proposes an AI-based web application approach for personalized career recommendations, leveraging the strengths of Singular Value Decomposition (SVD) and XG Boost algorithms. By integrating these techniques, the proposed system aims to overcome limitations of existing methods and deliver more accurate, contextually relevant Career suggestions to students. The web application was developed by Python and uses Keras ,Numpy,Pandas libraries. Result of this paper can be used to inform the students with informed career choices that align with their unique attributes and aspirations, thereby enhancing their successful career.