Image Based Classification for Vehicle Accident Detection and Insurance Claim Using Artificial Intelligence

This study presents a comprehensive approach for classifying insurance claims and detecting car accidents that makes use of image analysis and machine learning. A Convolutional Neural Network (CNN) trained on a dataset of accident and non-accident vehicle photos is used to conduct first accident identification. Next, using a different dataset of automobiles with different levels of damage, a Support Vector Machine (SVM) evaluates the extent of damage. The technology saves pertinent images to Dropbox so that insurance firms, in particular, can access them later. Insurance amounts are calculated using procedures that take into account the kind of vehicle, the extent of the damage, and other variables. The web application is easy to use and makes photo uploading simple. It guarantees a smooth experience for automobile owners and insurance providers.