Schematic is a web-based application that leverages AI technology to automatically generate dummy data based on user-entered prompts. It is designed to simplify the process of creating mock data for developers, researchers, and other users for testing, development, or simulation purposes.

• AI-Powered Prompt Input: Use AI models like Gemini to generate dummy data simply by providing a prompt.
• Tabular & JSON Data Display: The generated data is immediately displayed in an easy-to-read table format or as raw JSON data, giving users the flexibility to view it in both UI and code-friendly formats.
• Download JSON Schema: Download the generated data in JSON schema format, making it easy to integrate with APIs and other applications.
• Preset Prompts: Offers example prompts to help users get started with generating dummy data.
• Customizable Data: Users can modify the structure and columns of the data to fit their specific needs.
• Continuous Feature Expansion: The application is continuously evolving with new featuzres and improvements.

• Flutter Web: For a responsive and interactive frontend.
• Gemini AI: Used to process prompts and generate dummy data on demand.

1. Enter Prompt: Users provide a prompt that describes the type of data they need.
2. Generate Data: The application sends the prompt to the AI to generate dummy data.
3. View Results in a Table or JSON: The generated data is displayed in a customizable table format or as JSON.
4. Download JSON Schema: Click the download button to export the data as a JSON schema ready for integration with other APIs.

1. Clone the repository:

   git clone https://github.com/yourusername/schematic.git
   cd schematic

2. Install Flutter dependencies:

   flutter pub get

3. Run the Flutter project in the web:

   flutter run -d chrome

• Custom API Integration: Add the ability to dynamically store and manage preset prompts.
• Support for Multiple Data Formats: Provide export options for other formats such as CSV or XML.
• User Authentication: Implement a user authentication system to save generated prompts and results.
• Real-Time API Response Simulation: Introduce a feature to simulate real-time API responses for development testing.

Contributions are welcome! If you would like to contribute, feel free to submit a pull request or open an issue for discussion.