AryanKaushal2002 / Plant-Disease-Prediction-Using-StreamLit-and-Docker

Plant Disease Prediction using CNN

Plant Disease Prediction using StreamLit and Docker

This project utilizes StreamLit and Docker to create an interactive web application for predicting plant diseases. With a user-friendly interface, users can easily upload images of plant leaves and receive predictions regarding potential diseases.

Features

• Predict plant diseases using machine learning models.
• Interactive web interface powered by StreamLit.
• Dockerized for easy deployment and scalability.

Requirements

• Python 3.10
• Docker

Installation and Setup

1. Clone the repository:

   git clone https://github.com/AryanKaushal2002/Plant-Disease-Prediction-Using-StreamLit-and-Docker.git

2. Navigate to the project directory:

   cd plant-disease-prediction

3. Create a virtual environment:

   python -m venv venv

4. Activate the virtual environment(You will have to create a virtual environment for the project):

   • On Windows:

     venv\Scripts\activate

5. Install the required dependencies:

   pip install -r requirements.txt

6. Build the Docker image:

   docker build -t plant-disease-prediction-image:v1.0 .

7. Run the Docker container:

   docker run -p 80 plant-disease-prediction-image:v1.0

8. Access the application in your browser at http://localhost:80.

Usage

• Upload an image of a plant leaf.
• Click on the "Classify" button to generate predictions for potential diseases.
• Explore the results and take necessary actions for plant care.