SMART CAREER ADVISOR USING MACHINE LEARNING

SMART CAREER ADVISOR USING MACHINE LEARNING

ABSTRACT

The Smart Career Advisor project aims to assist graduates and professionals in selecting the ideal job role based on their subject knowledge and skill set. Many individuals face challenges when choosing a suitable career path, often struggling to identify the job that best aligns with their academic strengths and interests. This application leverages machine learning algorithms to predict job roles, offering tailored career advice based on a candidate's expertise in various domains.

The project utilizes existing machine learning algorithms such as Support Vector Machine (SVM) and Decision Tree for initial predictions, while proposing enhanced models like Random Forest and XGBoost for improved accuracy and performance. The system's input includes a range of subjects and skills, such as Database Fundamentals, Cyber Security, AI/ML, Data Science, and Graphics Designing, among others. These input parameters serve as the foundation for predicting the most suitable Job Role for the user.

This project seeks to empower individuals with data-driven career guidance, bridging the gap between education and professional opportunities, ultimately fostering better decision-making for career planning.

Keywords: Career Prediction, Machine Learning, Job Role, SVM, Decision Tree, Random Forest, XGBoost, Python, AI/ML, Data Science, Subject Knowledge.