“Smart Career Predictor: An AI-Based Framework for Personalized Career Guidance”

Abstract: The Smart Career Predictor is an Artificial Intelligence (AI)-based framework designed to assist students and professionals in selecting suitable career paths through data-driven insights. The primary purpose of this research is to develop a predictive system that leverages machine learning algorithms to analyze an individual's academic performance, skills, interests, and psychometric attributes for accurate career guidance. The scope of the study encompasses the design and implementation of a web-based model capable of integrating multiple data sources and providing personalized recommendations. The methodology employs supervised machine learning techniques, including Decision Tree and Random Forest classifiers, trained on verified datasets to predict optimal career domains. The system architecture integrates user input modules, a predictive engine, and a visual recommendation dashboard. Findings from the prototype demonstrate that the AI-based model significantly enhances the accuracy, efficiency, and objectivity of career counseling, thereby bridging the gap between education and employment through intelligent, scalable, and personalized career prediction.

Keywords: Artificial Intelligence (AI); Machine Learning (ML); Career Prediction; Data-Driven Guidance; Educational Technology; Decision Tree; Random Forest; Personalized Recommendation System.