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Introduction

Welcome to MLForm - a powerful framework for creating dynamic forms with built-in machine learning capabilities.

What is MLForm?​

MLForm is a TypeScript-based framework that allows you to:

  • 🎯 Create dynamic forms from JSON schemas with automatic validation
  • 🤖 Integrate ML models for real-time predictions (classification & regression)
  • 🧩 Build with Web Components using modern Lit framework
  • 🔒 Ensure type safety with full TypeScript support
  • ⚡ Extend easily through custom strategies and descriptors

Key Features​

Dynamic Form Generation​

Define your forms using JSON schemas and let MLForm handle the rendering:

const formSchema = {
  inputs: [
    {
      type: "text",
      title: "Name",
      description: "Enter your full name",
      required: true
    },
    {
      type: "number",
      title: "Age",
      min: 0,
      max: 120,
      required: true
    }
  ],
  outputs: []
};

Machine Learning Integration​

Seamlessly integrate classification and regression models:

const mlForm = new MLForm("https://api.example.com/predict");
await mlForm.toHTMLElement(schema, container);

Type-Safe Field Types​

Built-in support for multiple field types:

  • text - Text input with validation
  • number - Numeric input with min/max constraints
  • boolean - Checkbox or toggle
  • category - Select dropdown or radio buttons
  • date - Date picker with format validation

Extensible Architecture​

Create custom field types and ML model strategies:

class CustomFieldStrategy extends FieldStrategy {
  // Your custom implementation
}

mlForm.register(customFieldStrategy);

Use Cases​

MLForm is perfect for:

  • Data collection forms with ML-powered validation
  • Predictive interfaces that provide real-time insights
  • Survey applications with dynamic question flows
  • Admin dashboards with model integration
  • Interactive data entry with instant feedback

Next Steps​

Ready to get started?

Community & Support​

MLForm is open source and available under the MIT License.