Online Restaurant Ordering System with Dietary Recommendations

Overview

The Online Restaurant Ordering System with Dietary Recommendations is a web-based platform designed to enhance the food ordering experience by integrating dietary customization. This system provides tailored menu recommendations based on individual dietary preferences, such as vegan, gluten-free, or lactose-free, while offering a robust admin dashboard for restaurant management.

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Features

Customer Portal

• Personalized Recommendations: Filter menus based on dietary preferences (e.g., vegan, gluten-free).
• Order Management: Add items to a cart and place orders with ease.
• User Profile: Store dietary preferences and order history for a personalized experience.

Admin Dashboard

• Menu Management: Add, update, and delete menu items.
• Order Tracking: Monitor real-time orders and statuses.
• Sales Insights: Access reports and analytics to track performance.

Additional Features

• Secure Transactions: Integrated secure payment gateway.
• Mobile-Friendly Design: Fully responsive for use on smartphones, tablets, and desktops.
• Notifications: Real-time updates for customers and administrators.

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Technology Stack

Frontend

• HTML and CSS: For a responsive and user-friendly interface.
• JavaScript: Adds interactivity to the UI.

Backend

• Python Flask: Handles server-side logic and API development.

Database

• MySQL: Manages structured data storage for users, orders, and menu items.

Tools

• VS Code: Preferred IDE for development.
• GitHub: Version control and collaboration.

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Installation

1. Clone the repository:

   git clone https://github.com/bpdeepak/DBS_Project.git

2. Navigate to the project directory:

   cd DBS_Project

3. Set up the virtual environment:

   python -m venv env
   source env/bin/activate  # On Windows: env\Scripts\activate

4. Install dependencies:

   pip install -r requirements.txt

5. Set up the database:

   • Import the provided schema.sql file into MySQL.
   • Update the database configuration in config.py.

6. Run the application:

   flask run

7. Access the application in your browser:

   • Customer Portal: http://localhost:5000
   • Admin Dashboard: http://localhost:5000/admin

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Database Schema

Tables

• Users: Stores customer details and preferences.
• Menu: Contains menu items with dietary classifications.
• Orders: Tracks orders placed by customers.
• Cart: Manages temporary order details before placement.
• Admin Logs: Records administrative actions.

Relationships

• Users and Orders: One-to-many.
• Users and Cart: One-to-many.
• Menu and Orders: Many-to-many.

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Usage

For Customers

1. Sign up and create a profile, including dietary preferences.
2. Browse the menu and filter items based on preferences.
3. Add items to your cart and place an order.
4. Track your order status in real-time.

For Admins

1. Log in to the admin dashboard.
2. Manage menu items and track active orders.
3. View analytics and reports for business insights.

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Future Enhancements

1. AI-Driven Recommendations: Use machine learning to refine menu suggestions.
2. Mobile Application: Develop native apps for Android and iOS.
3. Wearable Integration: Sync with health trackers for personalized dietary insights.

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Contributing

We welcome contributions to this project! To get started:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add feature-name"

4. Push to your branch:

   git push origin feature-name

5. Submit a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for more details.

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Contact

For questions or feedback, please contact:

• Email: 1ms22cs039@msrit.edu
• GitHub: your-username