AgroIntel
AI-powered crop disease detection platform for farmers.
Architecture & Overview
Crop diseases cause massive harvest losses every year. My goal was to build a tool that gives every farmer an "expert in their pocket." By simply uploading a photo of a leaf, AgroIntel identifies diseases instantly and provides localized treatment plans. To bring this vision to life, I utilized a modern, high-performance stack: React.js and Tailwind CSS for a highly responsive UI, communicating with a Python and FastAPI backend engineered for sub-2-second rapid API performance. The core intelligence relies on TensorFlow/Keras with a custom-trained MobileNetV2 model to handle the computer vision tasks. This project challenged me to integrate complex Deep Learning models with a seamless web experience, successfully leveraging technology for social good.