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Repositório GitHubnannndev/Schematic

Schematic

Schematic é um aplicativo baseado na web que utiliza tecnologia de IA para gerar automaticamente dados fictícios com base em prompts inseridos pelo usuário. Foi projetado para simplificar o processo de criação de dados simulados para desenvolvedores, pesquisadores e outros usuários, para fins de teste, desenvolvimento ou simulação.

Capa do projeto Schematic
Estrelas
3
Forks
0
Último push (UTC)
16 de mai. de 2026
Status do projeto
Ativo

README original

Texto original em inglês. Visite o GitHub para a versão atual.

Schematic

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.

Key Features

  • 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.

Technology Stack

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

How to Use

  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.

Installation

  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
    

Roadmap

  • 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

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

Nande GitHub avatar
Autor no GitHub

Nande ↗

Mobile Developer | Frontend Developer

Jakarta, Indonesia
LinguagensDartC++CMakeSwiftHTMLCTypeScriptJavaScriptKotlinObjective-C

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