Digital Property Damage Assessment Application

We implemented ResUNet and Siamese U-Net models using PyTorch for building footprint segmentation and damage detection. We then hosted a user–interactive application prototype on AWS that detects buildings from satellite images and classifies them based on their extent of damage with state-of-the-art accuracy