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
How We Built CropGuard AI — Plant Disease Detection with Django, MongoDB Atlas and Deep Learning
Aakarsh Chimmani·Dev.to··1 min read
D
Continue reading on Dev.to
This article was sourced from Dev.to's RSS feed. Visit the original for the complete story.