Abstract:
This paper presents a novel method for predicting insurance claims by utilizing artificial
intelligence, specifically a deep learning model within the Convolutional Neural
Network (CNN) framework. The purpose is to automate and simplify the insurance
claims process. The model utilizes computer vision technology to precisely detect and
identify car damage, resulting in a substantial reduction in the processing time for
insurance claims. The article describes the creation of a specialized dataset consisting
of actual photographs of vehicles that have been wrecked. It also assesses multiple deep
learning models, ultimately finding that InceptionV3 is the most successful, achieving
an accuracy rate of 97%. The suggested AI system seeks to improve the efficiency of
claims processing and decrease the need for human evaluation. This would provide a
more dependable and efficient method for handling automobile insurance claims after
accidents.
