Plant disease detection &treatment

This project is an Al-based web application that detects plant diseases from leaf images using Deep Learning. The system determines whether the plant is healthy or infected, identifies the disease name, provides the prediction confidence score, and recommends an appropriate treatment plan.

The model was built using Transfer Learning with a pre-trained Convolutional Neural Network

(CNN) and trained on a labeled plant disease dataset. The application interface was developed using Streamlit, allowing users to upload an image and instantly receive diagnosis results.