Vehicle Damage Detection via Deep Learning

Automating Insurance Claims

Insurance companies spend millions manually inspecting vehicle damages for claims processing. Automating this via AI not only saves time but standardizes the assessment process, reducing human bias and error.

Computer Vision Pipeline

Using deep learning and object detection techniques (such as YOLO and customized CNN architectures), I built a pipeline to localize and classify damages directly from user-uploaded photos of vehicles.

Transforming the Industry

This AI application is a prime example of how computer vision is revolutionizing the insurtech sector, turning a multi-day inspection process into an instant, API-driven operation.