Bistro 92 Smart Ordering System

🛠️ Hardware Overview

This project was built for the Techathon competition under the MIE Robolution 2025 event.
We created an efficient, low-cost smart ordering system that transforms the chaotic dining experience into a smooth, modern one.

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🚀 Key Hardware Features

• Single Device, Multiple Tables:
  Instead of one device per table, we use one device to simulate multiple tables (1–16).
  Before booting, users input a 4-bit binary key representing the table number (e.g., 00010 = Table 2).

• Startup Screen:
  Displays Bistro 92, Table Number, and Wi-Fi connection status.

• Main Menu:

  • Right side: Food Menu.
  • Left side: Welcome message with Table No.
  • Button 3 ("+"): Scroll to next menu item.
  • Button 4 ("-"): Scroll to previous menu item.
  • Button 2 ("S"): Select highlighted menu item.

• Ordering Process:

  • After item selection, users enter the Quantity Selection screen.
  • Use "+" (Button 3) to increase or "-" (Button 4) to decrease quantity.
  • Button 2 ("S") confirms quantity and adds the item to the cart.
  • Multiple items can be added.

• Placing the Order:

  • Long press Button 2 ("S") until a long beep is heard.
  • Displays Order Summary.
  • Sends Order Data (Table No, Items, Quantity, Timestamp) to Firebase Database.

• Resetting the Order:

  • Button 1 ("R") clears the cart and returns to the main menu.

• User Feedback:

  • Buzzer feedback on every button press for better interaction.

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🛠️ Hardware Used

• ESP32 Microcontroller (with Wi-Fi)
• OLED Display (1.3 inch for better visibility)
• Soft Tactile Push Buttons (4 Buttons: R, S, +, -)
• Buzzer (for button press feedback)

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💡 Big Idea Features

1. Augmented Reality (AR) 360° Food View

We implemented an AR feature where users can view a realistic 360° model of the food item using a HIRO marker.
Currently, the HIRO marker (hiro_box) is used as a reference point placed on the table. In the future, the implementation will move to markerless AR directly on the dining table for a smoother experience.

2. Interactive 3D Food Model (Move and Zoom)

Alongside AR, we also developed a 3D view system where users can freely rotate, move, and zoom into the food model.
This allows customers to inspect the dishes from different angles, enhancing their decision-making experience before placing an order.

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📋 Software Overview

📖 Project Overview

This project is built using Django and Django Rest Framework.

By default, the Django server will run on port 8000.

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🛠️ Setup Instructions

1. Install Backend Requirements

• Navigate to the Backend directory:

cd Backend

• Create a virtual environment:

python -m venv venv

• Activate the virtual environment:

  • On Windows:

    venv\Scripts\activate

  • On macOS/Linux:

    source venv/bin/activate

• Install the required packages:

pip install -r requirements.txt

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2. Install Mirror Folder Requirements

• Navigate to the mirror folder:

cd mirror

• Create a virtual environment:

python -m venv venv

• Activate the virtual environment:

  • On Windows:

    venv\Scripts\activate

  • On macOS/Linux:

    source venv/bin/activate

• Install the required packages:

pip install -r requirements.txt

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🚀 Running the Application

• Run middleman.py from the mirror folder:

python middleman.py

• Start the Django server from the Backend directory:

python manage.py runserver

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📈 Why This Solution?

• ✅ Cost-effective: One device can serve up to 16 tables.
• ✅ User-friendly: Simple button navigation.
• ✅ Real-time updates: Orders pushed instantly to the cloud.
• ✅ Faster service: Reduces wait time and manual errors.
• ✅ Scalable and Smart: Easy cloud-based operations.

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Developed for Techathon 2025 | By Team Alpha