Movie Recommendation System

A Laravel-based movie recommendation system that suggests movies based on user interests using KNN (Euclidean & Manhattan Distance) and K-Means clustering.

Required Configuration

• PHP >= 8.1
• Laravel 10

Installation

Follow these steps to set up the project:

Clone the Repository:

git clone <repository-url>
cd <project-directory>

Install Dependencies: Run the following commands to install the required packages:

composer update
composer install

Generate Application Key: Generate the Laravel application key: This will update the APP_KEY in your .env file.

php artisan key:generate

Set Up Storage Link: Create a symbolic link for the storage directory:

php artisan storage:link

Configure Database: Update your .env file with your database credentials:

DB_CONNECTION=mysql
DB_HOST=127.0.0.1
DB_PORT=3306
DB_DATABASE=your_database_name
DB_USERNAME=your_database_user
DB_PASSWORD=your_database_password

Run Migrations: Initialize the database by running migrations:

php artisan migrate

To seed the database with initial data, use:

php artisan migrate:refresh --seed

Commands

Create a Controller with CRUD Operations: To generate a controller with CRUD methods, use:

php artisan make:controller CastController -r

Create a Model with Migration: To create a model along with its migration file, use:

php artisan make:model Cast -m

Project Features

1. Multi-Authentication System

   • Admin, Staff, and User roles are implemented.
   • Laravel Breeze is used for authentication scaffolding.
   • Email Verification is enabled for users.
   • Login is available for all roles, but Registration is only for users.

2. Admin CRUD Operations

   • Admins can perform CRUD operations for Users and Staff.

3. CRUD Management

   • The following CRUD operations are managed:
     • Cast CRUD
     • Genre CRUD
     • Production Company CRUD
     • Language CRUD
     • Director CRUD
     • Movie CRUD
     • Country CRUD
   • A Dashboard is also included.

4. User Profile and Interest

   • Users can manage their profiles and interests.

5. Super Admin and Support System

   • A Super Admin role has been added.
   • The support system has been updated.

6. Recommendation System

   • Recommendations are based on user interests.
   • KNN (K-Nearest Neighbors) algorithm is used for recommendations:
     • Euclidean Distance
     • Manhattan Distance
     • KMeans with Euclidean Distance
     • KMeans with Manhattan Distance

Contributing

If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Submit a pull request.

License

This project is open-source and available under the MIT License.

Support

For any issues or questions, please contact the development team or open an issue on the repository.