InsureNet

Abstract

InsureNet is an intelligent insurance automation framework designed to enhance the efficiency, reliability, and accuracy of core insurance operations. The system integrates machine learning techniques to support automated risk assessment, fraud detection, and claims processing. By combining advanced data preprocessing, predictive modeling, and a unified decision engine, InsureNet reduces manual workload, improves fraud identification, and accelerates claims settlement workflows. Experimental evaluation demonstrates significant improvements over traditional rule-based systems in terms of accuracy, processing speed, and operational consistency. InsureNet provides insurers with a scalable, data-driven platform capable of adapting to evolving industry needs.