Plant Disease Detection System - Groot 🌿

Welcome to the Groot. Groot is a plant leaf disease detection system based on deep learning. It has a training accuracy of 99% and a validation accuracy of 97%, using a model trained with TensorFlow and Keras. The trained model is integrated into a RESTful API with Flask. The system is then developed into a web application using Next.js and Tailwind CSS.

Overview

This system consists of:

• Model Training: Utilizing TensorFlow and Keras, I trained a deep learning model with training accuracy of 99% and a validation accuracy of 97%.
• API Integration: Using Flask, I transformed the trained model into a RESTful API for seamless integration.
• Web Application: Built with Next.js and Tailwind CSS, the web app provides an intuitive interface for users to upload images and receive instant disease diagnosis.

Key Features

• Accurate Diagnosis: It diagnoses variety of plant diseases with a high degree of accuracy.
• Health Assessment: It tells whether the plant is healthy or not.
• Disease Identification: Identifies specific diseases that are affecting the plant.
• Detailed insights: In case the plant is not healthy, it provides information on the symptoms and management recommendations.

Demo

Check out the demo video to see the system in action!

Getting Started

To get started with the Plant Disease Detection System, follow these steps:

1. Clone the repository.
2. Install the necessary dependencies.
3. Run the Flask server to start the API.
4. Launch the Next.js web app and upload images for diagnosis.

Technologies Used

• TensorFlow
• Keras
• Flask
• Next.js
• Tailwind CSS