Simple Generative Model for AI

Project Overview

This project aims to predict future trends of COVID-19 cases using data from Worldometer. By building and analyzing plots/graphs, we aim to understand potential future scenarios if the reporting and testing of cases continue.

Features

• Data Extraction: Extracts COVID-19 data from the Worldometer website.
• Data Analysis: Analyzes the extracted data to identify trends.
• Prediction Model: Implements a simple classification model to predict future COVID-19 case trends.
• Visualization: Builds plots/graphs to visualize current and predicted trends.

Goals

• Predict the future trend of COVID-19 cases.
• Visualize artificial trends and patterns in the data.

Getting Started

1. Clone the repository:

   git clone https://github.com/eagleofthesteppes/MedXAI.git

2. Install dependencies:

   pip install -r requirements.txt

3. Change to the data directory:

   cd data/

4. Run the data extraction script:

   python sort_and_divide_data.ipynb

5. Update the repository:

   git pull origin main

Usage

• Data Extraction: The script sort_and_divide_data.py extracts data from the OWID Dataset and saves the CSV files in a subfolder.
• Data Analysis: The script analyze_data.py reads the CSV file, performs analysis, and generates plots/graphs.

Contributing

We welcome contributions! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions or suggestions, please open an issue or contact us at [[email protected]], [[email protected]], [[email protected]].

Contributors

• Nitin - [email protected]
• Aditya - [email protected]
• Ryan - [email protected]
• Hazel - [email protected]
• Tatsat - [email protected]
• Tri - [email protected]
• Mayank - [email protected]