Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
• This paper describes the design and development of a scalable and efficient “food delivery
application” based on MERN stack i.e. combination of MongoDB, Express.js, React.js, and Node.js.
The food delivery application aims at simplifying food ordering process, connecting user with
restaurant, and tracking the order. The research work includes system architecture, UI/UX strategies,
backend development, database modelling, and deployment practices. Performance evaluations
indicate that MERN stack provides a good foundation for real-time web applications with dynamic
user interface.
• The front-end development has been done with React.js. A responsive user interface which provides
interactive experience to the user has been developed. Customers can see the menu and place an
order.
• The technical analysis during the development of the food delivery application and the fixes that we
have implemented will be discussed.
• To conclude, MERN stack developed Food Delivery Application shows how you can successfully
build a feature-rich application that enables smooth food ordering and food delivery services. While
satisfying the needs of the patrons and the restaurant owners, a great user experience is guaranteed by
using the latest web technologies and efficient development practices.
Keywords:
Food Delivery App, MERN Stack, Web Development, Online Ordering System, User Experience
Cite Article:
"Food Delivery App", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c677-c681, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505279.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator