How We Built CropGuard AI — Plant Disease Detection with Django, MongoDB Atlas and Deep Learning

CropGuard AI is a Django-served Python web application backed by MongoDB Atlas for application persistence. The project combines plant disease detection, real-time model training with live SSE streaming, custom model diagnostics with Grad-CAM heatmaps, and MongoDB-powered analytics in one full stack deployment. This post explains why we chose this architecture, what Django serves, and how MongoDB fits into the runtime and data flow. Team Members This project was developed by: @aakarsh_chimmani —