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Enhancing dining experiences with advanced database techniques, PHP-ML for data mining, and Chart.js for insights.

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Max_Burgers-POS

Visual Studio Code Apache HTML5 CSS3 JavaScript PHP MySQL

🚀 Project Overview

Max_Burgers-POS is a group project related to the Advanced Database Management System module. The project incorporates various advanced database techniques, including but not limited to normalization, indexing, and query optimization, to enhance the overall dining experience. We have utilized PHP-ML, a machine learning library for PHP, for data mining purposes. Additionally, we employ Chart.js to visualize and analyze data, providing valuable insights into restaurant operations.

🎥 Demo

MaxBurgersPOS | Live 🔴

Demo Login Details

- Username: admin
- Password: 123

🌟 Key Features

  • Table Reservation Management
  • Real-Time Table Status Tracking
  • Efficient Customer Communication
  • Product management
  • System control
  • Automated Reservation Confirmation
  • Enhanced Customer Experience
  • Ease of Operation

🌐 Web Application Integration

The project is built using the LAMP stack, including HTML, CSS, JavaScript, PHP, and SQL.

💳 Point-of-Sale (POS) System Integration

The POS system is designed for company owners or cashiers. It allows users to log in and perform basic POS functions, such as managing tables, checking table availability, and controlling table status.

🛠️ Getting Started

  1. Host the Website:

    • Clone the repository: git clone https://github.com/HMAHD/Max_Burgers-POS.git
    • Move into the project directory: cd Max_Burgers-POS
    • Host the project on a local server.
  2. Configure the Database:

    • Set up a MySQL database.
    • Configure the database connection in the project.
  3. Set Up Account Settings:

    • Customize account settings based on your requirements.
  4. To-Do List:

    • Code clean up (✅ done)
    • Style changes (✅ done)
    • Create Order data export into CSV file
    • Improve analysis functions
    • Add PHP-ML integration
    • Store analyzed data

[Include any additional setup or installation instructions here]

🤝 Contributing

Contributions are welcome! Please follow our contribution guidelines.

📃 License

This project is licensed under the MIT License.

👥 Team

Here are the GitHub profiles of our amazing team members who contributed to this project:

  1. @HMAHD
  2. @Amasha1999
  3. @BupendraDhyan
  4. @bhagya1614
  5. @yasasyohan
  6. @piyumi27
  7. @DinithiShamen
  8. @abhi-551
  9. @yisirasankalapani4
  10. @sandundilshan

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Enhancing dining experiences with advanced database techniques, PHP-ML for data mining, and Chart.js for insights.

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