Deploying an Intelligent Online Food Ordering System to Optimize College Canteen Operations

Pranav Bari, Yuvraj Patil, NeerajKumar Sathawane, Tushar Suroshe, Atharva Patil

2025

Abstract

College canteens often face issues like long lines, slow service, and crowded spaces, especially during peak hours. To address these challenges, this paper explores a practical approach to building an online food ordering system specifically designed for college campuses. Our solution uses familiar web and mobile tools, combined with modern technologies like the MERN stack (MongoDB, Express, React, Node.js) and simple machine learning techniques, to make ordering food easier and faster for students and staff. Key features include a web application where users can place orders, pay digitally, and get personalized recommendations based on past choices. This system not only reduces wait times but also helps canteen staff manage orders more efficiently. Testing shows that the new system significantly improves order accuracy, speeds up the process, and creates a more enjoyable experience for users. This paper provides a practical blueprint for colleges looking to upgrade their canteen services and keep pace with students’ expectations in today’s digital world.

Paper Citation

in Harvard Style

Bari P., Patil Y., Sathawane N., Suroshe T. and Patil A. (2025). Deploying an Intelligent Online Food Ordering System to Optimize College Canteen Operations. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 263-268. DOI: 10.5220/0013613700004664

in Bibtex Style

@conference{incoft25,
author={Pranav Bari and Yuvraj Patil and NeerajKumar Sathawane and Tushar Suroshe and Atharva Patil},
title={Deploying an Intelligent Online Food Ordering System to Optimize College Canteen Operations},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013613700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Deploying an Intelligent Online Food Ordering System to Optimize College Canteen Operations
SN - 978-989-758-763-4
AU - Bari P.
AU - Patil Y.
AU - Sathawane N.
AU - Suroshe T.
AU - Patil A.
PY - 2025
SP - 263
EP - 268
DO - 10.5220/0013613700004664
PB - SciTePress