🌱 Plant Disease Detection

This project uses a deep learning model to detect plant diseases from images.

📂 Project Structure

Client- Mobile Application & Webpage Server- Flask Server to Host the model

📌 Overview

This project leverages Detectron2 for plant disease detection, deployed via a Flask backend and accessible via a Flutter mobile app or a web client. The model detects:

3 Potato Diseases 4 Tomato Diseases

🏗 Tech Stack

Frontend:

🌐 Web: HTML/CSS/JavaScript (hosted using Flask) 📱 Mobile: Flutter

Backend:

🚀 Flask (REST API) 🧠 Detectron2 (Mask R-CNN R50-FPN 3x) 🌎 Ngrok (for public tunneling)

Dataset & Processing:

📂 Kaggle dataset 🏷 Annotated using Makesense.AI