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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62781

Scan & Dine: A Smart MERN Stack Based Restaurant Management and Food Ordering System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62781

Volume:

10 |

5 |

May 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DK

Deepak Kumar

Department of IT

Noida Institute of Engineering Technology, Gr. Noida

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Mentors

MHS

Mr. Hari Saroop

Department of IT

Noida Institute of Engineering Technology, Gr. Noida

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Abstract

The restaurant industry is rapidly adopting digital technologies to improve operational efficiency and customer experience. Traditional restaurant systems often involve manual ordering processes, paper menus, and communication delays between customers and staff. This paper presents “Scan & Dine,” a smart restaurant management and food ordering web application developed using MERN stack technologies. The proposed system allows customers to scan QR codes for accessing digital menus, booking tables, placing orders, and tracking order status in real time. The system also provides an admin dashboard for managing menu items, customer activities, and restaurant operations. Technologies such as React.js, Node.js, Express.js, and MongoDB are integrated to ensure scalability, security, and performance. The developed platform improves customer convenience, reduces manual workload, and modernizes restaurant management operations.

KEYWORDS

Key Words: MERN Stack Restaurant Management Food Ordering System QR Code Technology Web Application Digital Menu.

Cite This Article

Deepak Kumar, Mr. Hari Saroop, "Scan & Dine: A Smart MERN Stack Based Restaurant Management and Food Ordering System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026.

Full Article/Conclusion

In conclusion, the proposed Scan & Dine system successfully demonstrates how modern web technologies can be utilized to improve restaurant management and enhance customer dining experiences through digital automation. The system integrates QR-code-based ordering, digital menu management, table reservation, real-time order tracking, and centralized administrative control within a single web-based platform developed using the MERN stack architecture. The implementation of the system effectively reduces manual workload, minimizes order processing delays, and improves communication between customers and restaurant staff. By replacing traditional paper-based and manually operated restaurant processes with an automated digital solution, the platform increases operational efficiency, improves service quality, and provides a more convenient and contactless dining experience for users. The use of technologies such as React.js, Node.js, Express.js, and Mongo DB ensures scalability, flexibility, and efficient data management within the application. Secure authentication mechanisms and modular system architecture further contribute to reliable system performance and easy future expansion. The testing and evaluation results indicate that the application performs efficiently under different operational scenarios and satisfies the primary objectives of the project.  

References

1.       M. Grinberg, Flask Web Development: Developing Web Applications with Python, 2nd ed. Sebastopol, CA, USA: O’Reilly Media, 2018. 2.       React.js Documentation, “React – A JavaScript library for building user interfaces,” Meta Platforms Inc. [Online]. Available: https://reactjs.org 3.       Node.js Documentation, “Node.js JavaScript Runtime Environment,” OpenJS Foundation. [Online]. Available: https://nodejs.org 4.       Express.js Documentation, “Fast, unopinionated, minimalist web framework for Node.js.” [Online]. Available: https://expressjs.com 5.       Mongo DB Documentation, “Mongo DB Database Documentation.” [Online]. Available: https://www.mongodb.com/docs 6.       J. Banks, “Modern Restaurant Management Systems Using Web Technologies,” International Journal of Computer Applications, vol. 182, no. 12, pp. 15–21, 2021. 7.       A. Kumar and R. Sharma, “QR-Code-Based Smart Restaurant Ordering System,” International Journal of Scientific Research in Engineering and Management (IJSREM), vol. 8, no. 5, pp. 1–6, 2024. 8.       S. Verma and P. Gupta, “Digital Transformation in Restaurant Management Systems,” International Journal of Innovative Research in Technology, vol. 9, no. 3, pp. 112–118, 2023.

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Publication Date

5/7/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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