Open Access
Research Paper
Peer Reviewed

Paper Title

END-TO-END CANTEEN AUTOMATION ROBOT: ORDER TAKING, BILLING, AND DELIVERY

Article Identifiers

Registration ID: IJNRD_326685

Published ID: IJNRD2606429

: https://doi.org/10.56975/ijnrd.v11i6.326685

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Keywords

Canteen Automation, Internet of Things (IoT), Firebase Realtime Database, Automated Billing, Real-Time

Abstract

The End-to-End Canteen Automation Robot: Order Taking, Billing and Delivery is a smart cloud-based system to automate the process of ordering food, billing, payment and delivery in institutional canteens. Traditional canteen management is manual. The orders are taken manually. The bills are written manually. The communication between the customer and kitchen staff is verbal. This often results in long queues, billing errors, order mismatches, and inefficient service. This project solves these issues by offering an integrated digital platform where users can order food through a mobile app or web interface for faster and more accurate service. The cloud backend of the proposed system is a Firebase Realtime Database that synchronises the customer’s order, billing information, payment status, and kitchen updates in real time. The ESP8266/ESP32 Wi-Fi microcontrollers enable communication between the cloud database and the kitchen display system. Once the order is placed, the system will automatically generate the bill and enable UPI/QR based digital payments and generate a unique token number to facilitate organised food collection. Orders come in real-time on a digital dashboard in the kitchen, eliminating paper slips and reducing communication errors. Furthermore, the system offers real-time order status updates, allowing customers to track their orders from preparation to completion. Options like RFID authentication, QR code login, thermal token printing, buzzer & LED alerts, and digital notifications make the process more efficient and improve user experience. The modular architecture allows for future integration of advanced technologies such as Artificial Intelligence (AI), machine learning based food recommendations, automated inventory management, voice assisted ordering and robotic food delivery. Experimental tests show that the system is good in terms of billing accuracy, reliable cloud synchronisation, unique token generation and low communication latency. This implementation greatly reduces the waiting time of the customer, reduces human intervention, increases the transparency of operations and improves the overall efficiency of the canteen. The proposed solution is in line with the concept of Smart Campus and provides a scalable, secure and user-friendly canteen automation platform suitable for colleges, universities, corporate cafeterias, hospitals and other institutional food service environments.

How To Cite (APA)

Dr.S.KISHORE REDDY, S LAKSHMI PRIYADHARSHINI, PATHIPAKALA ROHITH, ENUGURTHI SHASHANK, & MAMILLA ARUN TEJA (June-2026). END-TO-END CANTEEN AUTOMATION ROBOT: ORDER TAKING, BILLING, AND DELIVERY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(6), e248-e257. https://doi.org/10.56975/ijnrd.v11i6.326685

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Other Publication Details

Paper Reg. ID: IJNRD_326685

Published Paper Id: IJNRD2606429

Research Area: Other area not in list

Author Type: Indian Author

Country: metrostation, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2606429.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2606429

Crossref DOI: https://doi.org/10.56975/ijnrd.v11i6.326685

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Publication Timeline

Paper Submission
19-06-2026
Peer Review
Through Scholar9.com Platform
Paper Acceptance
25-06-2026
Paper Publication
30-06-2026

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