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What is Auto Insurance Fraud Detection Using ML about?

This document presents a proposal to develop a system to detect auto insurance fraud using machine learning techniques. The existing fraud detection systems are manual and time-consuming. The proposed system would analyze insurance data using algorithms like Naive Bayes and K-Nearest Neighbors to classify claims as legitimate or fraudulent in real-time. It would help insurance companies identify fraud faster and reduce losses from fraudulent claims. The system structure involves collecting data from various

Author

Uma

Language

EN