Vehicle Damage Assessment & Cost Estimation

Abstract- Effective damage assessment is essential in light of the growing number of vehicles and accidents. Insurance claims and repairs are delayed by the lengthy, subjective, and error-prone nature of traditional manual techniques. To solve these problems, this project presents a web application driven by AI. When users upload pictures of damaged cars, the system uses computer vision to identify the damaged areas and categorize the damage, such as dents, scratches, or fractures. It makes precise cost estimates by utilizing a dynamic database of repair costs according to vehicle type and location. Users can easily download or share a comprehensive report that includes cost breakdowns and annotated photos. The technology, which cuts processing time from days to minutes, is based on scalable cloud architecture and guarantees speed, consistency, and accessibility. Keywords Vehicle damage assessment, cost estimation, machine learning, computer vision, predictive modelling, automotive industry