Fine-tuned ResNet-18 on 27,000 labeled satellite images to classify land use across 10 categories, achieving 97–99% per-class validation accuracy. Served via a FastAPI backend and containerized with Docker.
github.com/anthonykovari/eurosat_classification ↗Demo