Predictive Modeling for Healthcare Insurance Costs Using Machine Learning

Abstract: Insurance policies help to reduce financial losses by covering various risks, including medical expenses. The task of grading academic assignments is typically cumbersome, unequal, and also charged with some human bias due to personal judgment especially when it is subjective, for instance, essays and short hand answers. The paper presents an AI grading system that automates both objective and subjective assignment grading based on state-of-the-art technology. The system includes Optical Character Recognition (OCR) for processing handwriting, NLP models for evaluating essays and textual responses, and machine learning algorithms for objective questions in multiple-choice and fill-in-the-blank formats. This system also delivers detailed feedback to improve learning outcomes. After significantly reducing grading time while remaining fair and accurate, this system presents a scalable and efficient solution for modernization in educational evaluation processes