AI Empowered Health Insurance Fraud Detection

Abstract

The project titled aims to develop an advanced system for identifying and preventing fraudulent activities within the health insurance sector. By leveraging the power of artificial intelligence and machine learning algorithms, this system is designed to analyse vast amounts of data from insurance claims, detecting patterns and anomalies indicative of fraudulent behavior. The proposed solution focuses on enhancing the accuracy and efficiency of fraud detection processes, minimizing false positives, and significantly reducing the financial losses incurred by insurance companies. The system also provides a robust framework for continuous learning and adaptation to emerging fraud tactics, ensuring long-term reliability and effectiveness in safeguarding the integrity of health insurance claims.