Vehicle Claim Damage Analyzer is a deep learning model based on EfficientNet-B0 that classifies vehicle damage types from images into six categories (crack, dent, glass shatter, lamp broken, scratch, and tire flat). It applies standardized preprocessing and confidence scoring to deliver reliable, data-driven predictions for automated insurance claim assessment and damage triage.