AGRODARAA DASHBOARD

Overview

The AGRODARAA DASHBOARD is a data visualization project designed for displaying smart farm statistics. This repository contains the code and data required to run the dashboard.

Project Structure

The repository is organized as follows:

• app.py: The main Dash application script for the AGRODARAA DASHBOARD.
• predictor.py: A class for fetching data, loading models, and making predictions.
• requirements.txt: A list of Python dependencies required to run the project.
• assets/: A directory containing CSS files for styling the dashboard.
  • base.css: General styling for the entire application.
  • dashboard.css: Specific styling for the dashboard components.
• ml_tool/: A directory containing machine learning models and scalers used in the project.
  • model.h5: Model for dataset "5CV-MG3".
  • scaler.pkl: Scaler for dataset "5CV-MG3".

Prerequisites

Before you begin, ensure you have the following prerequisites:

• Python 3.x
• Install the Python packages listed in the requirements.txt file by running:

  pip install -r requirements.txt
  

Usage

To run the AGRODARAA DASHBOARD, execute the following command:

python app.py