Design and Development of an AI-Based Career Predictor & Resume Builder for Engineering Graduates

Abstract

The increased competition among the engineering graduates in the modern day job market creates the requirement of smart career advice and professional portfolio tools. The current AI-based systems are not always flexible to accommodate the emerging trends in industries and do not include resume-building mechanisms in line with the need of recruiters. This study introduces the design and development of Career Predictor and Resume Builder an AI-based application to assist engineers graduates. The suggested system uses various machine learning algorithms to suggest appropriate career directions in relation to academic achievements, capabilities and interests. Resume builder module improves employability through the creation of recruiter friendly structured resumes. The experimental analysis shows that the model with the highest prediction accuracy of 94.2 is the Random Forest model, which does better than the rest of the models including SVM and Decision Tree. The system is integrated to close the divide between academia and industry demands by providing a single system of career prediction and resume development. Infrastructure enhancements The model is to be improved with real-time job market analytics and adaptive skill-gap suggestions to increase its predictive capabilities and relevancy.

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