Career selection is one of the most important decisions in a student's academic and professional journey. However, many higher secondary students choose career paths based on parental expectations, peer influence, or limited awareness of available opportunities rather than their aptitude, interests, personality, and skills. Traditional career counseling methods often depend on trained counselors, making the process time-consuming, costly, and difficult to access, particularly for students in rural and semi-urban areas. These challenges highlight the need for an intelligent, scalable, and personalized career guidance system.
This research proposes an AI-powered Digital Career Counseling System that utilizes Artificial Intelligence (AI), Machine Learning (ML), Explainable Artificial Intelligence (XAI), and Generative Artificial Intelligence (GenAI) to provide personalized career recommendations. The proposed framework develops a comprehensive student profile by analyzing academic performance, aptitude, interests, personality traits, extracurricular achievements, and career preferences. Based on this multidimensional analysis, machine learning algorithms identify suitable career domains and educational pathways.
To improve transparency and user trust, the system incorporates an Explainable AI module that provides clear justifications for every recommendation. In addition, a Generative AI-based conversational assistant enables students to interact naturally, explore career options, compare educational programs, receive information about scholarships and future opportunities, and obtain personalized learning guidance. The proposed architecture also considers evolving labor market trends to ensure that recommendations remain relevant and future-oriented.
The proposed system aims to enhance career decision-making, improve the accuracy and transparency of career recommendations, reduce career mismatch, and expand access to quality career counseling. Rather than replacing human counselors, it serves as an intelligent decision-support system that supports educators and counselors while empowering students to make informed and confident career choices.

Mr.Dipesh Dave, Prof.Dr.Geetanjali Amarawat, Ms. Pinakiniben Chandrakantbhai Patel, Mr. Vijaykumar Dalsukhbhai Patel, Ritu Rani, "An AI-Powered Digital Career Counseling System for Higher Secondary Students Using Machine Learning and Generative Artificial Intelligence" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(326-336) July - August 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.