shubham10divakar / PlantVizPredict

Welcome to PlantViz, your tool for predicting and visualizing plant diseases. Explore various features such as data analysis, model training, disease prediction, and more. Use the sidebar to navigate through different sections.

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PlantDoc: Interactive Plant Disease Data Exploration Tool

PlantDoc is an interactive data exploration tool built with Streamlit, designed to facilitate the visualization and analysis of plant disease datasets. Users can select from predefined datasets, visualize the data, and download datasets for offline analysis.

Features

  • Data Visualization: Interactive visualizations of plant disease datasets.
  • Dataset Selection: Choose from multiple predefined plant disease datasets.
  • Download Functionality: Download datasets for offline analysis.
  • Dynamic Summaries: View detailed summaries of selected datasets.
  • Social Media Links: Follow our latest updates on social media.

Getting Started

These instructions will help you set up and run the PlantDoc tool on your local machine.

Prerequisites

  • Python 3.6 or higher
  • Streamlit
  • pandas
  • matplotlib
  • seaborn

You can install the necessary packages using pip:

pip install streamlit pandas matplotlib seaborn

About

Welcome to PlantViz, your tool for predicting and visualizing plant diseases. Explore various features such as data analysis, model training, disease prediction, and more. Use the sidebar to navigate through different sections.


Languages

Language:Python 100.0%