Success Stories

Deep learning model to classify hail damage claims

Deep learning model to classify hail damage claims.

Problem Statement

Automobile insurance companies are seeing huge increase in claims from hail-storm damages for more than 10 years now. As the hail damage claims rise, the National Insurance Crime Bureau warns of fraud. So there is an urgent need from insurance companies to deploy a solution which can detect fraud and optimize insurance claims during the hail-storm season.

To meet the above requirement, develop and deploy an advanced NN model to classify dents caused by hail-storm along with body panel for different automobile makes and models. Some of the challenges are given below :

Data Description

Data Sources

Data Capture Method

NN Model Selection Considerations

Data Pre-processing

Data Augmentation

Machine Learning Workflow

Model – Architecture (3a)

Evaluation &  Fine Tuning of Model

Confusion Matrix

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