International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The Career Path Recommendation System is a web-based platform designed to assist students, job seekers, and professionals in identifying suitable career paths based on their interests, skills, academic background, and personality traits. Choosing the right career is often challenging due to the wide range of options, lack of guidance, and limited awareness about individual strengths and industry requirements. This system addresses these challenges by providing personalized, data-driven career recommendations that align with users’ profiles and preferences.
The platform enables users to register, complete a structured assessment questionnaire, and receive career suggestions tailored to their skills, strengths, and aspirations. It incorporates algorithms to analyze user inputs, map them to relevant career domains, and provide actionable insights, including required skills, educational pathways, potential job roles,and growth opportunities. Administrators can manage career options, update assessment questions, and maintain the recommendation database.
Developed using modern web technologies, the system offers an interactive frontend for a seamless user experience, a robust backend for processing assessments and generating recommendations, and secure data storage to protect user information. By combining technology and career guidance, the Career Path Recommendation System empowers users to make informed, confident, and strategic career decisions, improving employability and professional growth

Keywords: Career Path Recommendation System, Artificial Intelligence (AI), Machine Learning, Skill and Interest Analysis, Personalized Career Guidance.

Downloads: | DOI: 10.17148/IJARCCE.2026.151127