yousefkadah/php-laravel-ai

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Specialized AI model for PHP and Laravel using RubixML

dev-main 2025-04-05 07:23 UTC

This package is auto-updated.

Last update: 2025-06-28 10:58:30 UTC


README

A specialized AI model for PHP and Laravel development assistance using RubixML, a machine learning library built specifically for PHP.

Features

  • Code Classification: Automatically classify PHP code into different Laravel components (models, controllers, services, etc.)
  • Multiple Model Types: Support for Random Forest, Neural Network, Decision Tree, and SVM algorithms
  • Laravel Integration: Easy integration with Laravel applications through service provider and facade
  • Customizable: Configurable model parameters and preprocessing options
  • Extensible: Framework for training custom models with your own data

Requirements

  • PHP 7.4 or higher
  • Composer
  • Laravel (for integration)

Installation

Via Composer

composer require yousefkadah/php-laravel-ai

Laravel Integration

If you're using Laravel, publish the configuration file:

php artisan vendor:publish --provider="App\Integration\LaravelAIServiceProvider"

Quick Start

Standalone Usage

use App\Integration\LaravelAI;

// Create a new instance of LaravelAI
$laravelAI = new LaravelAI();

// Load a trained model
$laravelAI->loadModel('/path/to/model.model');

// Classify a code sample
$code = file_get_contents('path/to/code.php');
$classification = $laravelAI->classifyCode($code);

echo "Code classification: " . $classification;

Laravel Integration

In a Laravel application, you can use the facade:

use LaravelAI;

// Classify a code sample
$code = file_get_contents('path/to/code.php');
$classification = LaravelAI::classifyCode($code);

echo "Code classification: " . $classification;

Documentation

For detailed documentation, see the documentation.md file.

Project Structure

php-laravel-ai/
├── config/                  # Configuration files
│   └── laravel-ai.php       # Laravel AI configuration
├── data/                    # Data directory
│   ├── models/              # Saved models
│   ├── processed/           # Processed data
│   └── raw/                 # Raw code samples
├── docs/                    # Documentation
│   └── documentation.md     # Comprehensive documentation
├── src/                     # Source code
│   ├── Dataset/             # Dataset handling classes
│   ├── Examples/            # Usage examples
│   ├── Integration/         # Laravel integration components
│   ├── Models/              # Model implementation
│   ├── Preprocessing/       # Data preprocessing utilities
│   └── Utils/               # Utility functions
├── tests/                   # Test files
├── composer.json            # Composer configuration
└── README.md                # This file

Training Your Own Model

If you want to train your own model with custom data:

  1. Collect PHP and Laravel code samples and place them in the data/raw directory
  2. Run the preprocessing pipeline:
php src/Preprocessing/run_pipeline.php
  1. Train the model:
php src/Models/train.php
  1. The trained model will be saved to data/models/laravel_classifier.model

License

This project is licensed under the MIT License.

Credits