Plant Disease Recognition

This project is a web application designed to help farmers and agriculturalists recognize plant diseases using Machine Learning and Computer Vision. The application allows users to upload images of plants, detects diseases.

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Features

• Disease Detection: Uses a trained deep learning model to classify plant diseases from uploaded images.
• Responsive Design: User-friendly web interface built with HTML, CSS, and JavaScript.

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Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Flask
• Machine Learning Libraries: TensorFlow, NumPy, OpenCV, Pillow, Matplotlib
• Deployment: Docker, Google Cloud

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Prerequisites

• Python 3.7+
• Docker
• Google Cloud Platform account

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Folder Structure

├── Dockerfile                   # Docker configuration for containerizing the app
├── app/                         # Main application code
│   ├── main.py                  # Flask app file
│   ├── models/                  # Pre-trained ML model(s)
│   ├── static/                  # Static assets (CSS, JavaScript, images)
│   └── templates/
│       └── index.html           # Frontend HTML file
├── requirements.txt             # Python dependencies
└── README.md                    # Project documentation