🎬 Movie Website

Welcome to the Movie Website project! Dive into a world where you can watch movie trailers, provided you have a subscription, and enjoy personalized movie recommendations. Our recommendation system uses gradient episodic memory model to ensure real-time updates and the most relevant suggestions.

🌟 Features

• Exclusive Trailer Access: Only subscribed users can enjoy our movie trailers.
• Smart Recommendations: Our system delivers personalized movie recommendations using advanced machine learning techniques.

Contributors

• Trần Kim Dũng - 22022633
• Phạm Anh Quân - 22022625
• Hồ Cảnh Quyền - 22022629
• Nguyễn Văn Thân - 22022596

📚 Table of Contents

• Installation
• Usage
• Technologies Used
• Contributing
• License

🚀 Installation

Prerequisites

Make sure you have the following installed:

• Docker
• Miniconda
• Nodejs

Steps

1. Clone the Repository

   git clone https://github.com/Vnn04/movie_website.git
   cd movie_website

2. Set Up the Server

   • Navigate to the server directory:

     cd server

   • Run the server using Docker Compose:

     docker-compose up

3. Set Up the Recommendation System

   • Navigate to the recommendationSystem directory:

     cd ../recommendationSystem

   • Create a new Conda environment and activate it:

     conda create --name mlops-env python=3.12
     conda activate mlops-env

   • Install the required libraries:

     pip install -r requirement.txt

   • Run the application:

     python app.py

4. Finalize the Server Setup

   • First, in folder server add file .env and paste content in file .env.example into it, fill the missing infomation. with MAIL_USERNAME= your_email (Your email has 2-layer security) MAIL_PASSWORD= your_password(app passwrod or your password of your email), MAIL_FROM_ADDRESS= your_email (Your email has 2-layer security), SECRET_API_GG_IMG_KEY= your_api_google_image_key.
   • Navigate back to the server directory:

     cd ../server

   • Install the necessary Node.js packages:

     npm install

   • Start the server:

     npm start

   • Open your browser and go to http://localhost:8080 to view the application.

📖 Usage

Once installed, launch the application by navigating to http://localhost:8080. Users can sign up, subscribe, and start watching exclusive movie trailers. Our recommendation system will tailor suggestions to each user's preferences based on their viewing history.

🛠️ Technologies Used

• Frontend: HTML, CSS, JavaScript
• Backend: Node.js, Express
• Database: Mysql
• Recommendation: Python, Gradient Episodic Memory
• Containerization: Docker
• Environment Management: Conda

🤝 Contributing

We welcome contributions from the community! If you have ideas to enhance the Movie Website, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Make your changes and commit them (git commit -m 'Add new feature').
4. Push the changes to your branch (git push origin feature/your-feature).
5. Open a Pull Request for review.

Please ensure your contributions adhere to our coding standards and include necessary tests.

📜 License

This project is licensed under the MIT License. For more details, see the LICENSE file.

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Thank you for choosing Movie Website! We hope you enjoy an exceptional, personalized movie trailer experience.