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AI-Based Data Genesis System

This project is a data generation and database management system that leverages the Eden AI API to create realistic data and manage databases seamlessly.

Features

  • Generate realistic data using the Eden AI API.
  • Create database schema based on user input (database name, number of tables, table columns).
  • Populate the database with realistic data entries.
  • Download the database schema in an SQL file format.
  • User-friendly web interface for easy interaction.

Tech Stack

  • Frontend: HTML, CSS, JavaScript
  • Backend: Flask (Python)
  • Database: MySQL

Directory Hierarchy

.
├── config.py
└── Database_Generator
    ├── __init__.py
    ├── static
    │   ├── index_style.css
    │   ├── outer_style.css
    │   ├── script.js
    │   ├── style.css
    │   └── table_style.css
    ├── templates
    │   ├── index.html
    │   ├── output.html
    │   └── table.html
    └── utils
        ├── api.py
        ├── create_tables.py
        ├── generate_schema.py
        └── insert_query.py

Getting Started

  1. Clone this repository to your local machine:

    git clone https://github.com/lokeshdangii/Prayatn_Hackathon

  2. Navigate to the project directory:

    cd Prayatn_Hackathon

  3. Install the required dependencies:

    pip install -r requirements.txt

  4. Set up your API key for the Eden AI API in config.py.

  5. Run the application using Flask:

    flask --app Database_Generator/__init__.py run

  6. Access the web interface in your browser at http://localhost:5000.

Usage

  1. Open the web interface and provide the database name and number of tables.
  2. For each table, specify column details (name and data type separated by a colon).
  3. Submit the form to create the database schema and populate it with realistic data.
  4. Download the generated database schema in an SQL file format for further use.

Contributors