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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.

🚀 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.

🛠️ 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)

💡 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.

📋 Software Overview

📖 Project Overview

This project is built using Django and Django Rest Framework.

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

🛠️ 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

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

🚀 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

📈 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.

Developed for Techathon 2025 | By Team Alpha