Synthetic Data Generation (SDV) Project

Overview

This project focuses on generating synthetic data using the CTGAN algorithm on tabular data. The aim is to tackle data preprocessing and generation challenges while safeguarding real data against privacy risks.

Components

• Backend: Contains the core logic for data processing and CTGAN algorithm implementation.
• Frontend: Provides a user interface for interacting with the synthetic data generation system.
• Node_Modules: Includes necessary dependencies for the project.
• Uploads: Manages files uploaded by users for data generation.

Installation

To set up the project, follow these steps:

1. Clone the repository to your local machine.
2. Navigate to the project directory.
3. Install the required dependencies using npm install.
4. Run the server.js file to launch the project.

Languages Used

• Python
• JavaScript
• Node.js
• HTML
• CSS

License

This project is open source and available under the MIT License.

Contact

For any queries or contributions, please open an issue in the repository.