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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Food Delivery App
Authors Name: Mr. Nitin Sondhi , Ravi Rawat , Roodra Pratap Singh , Anuj gangwar
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IJRTI_203988
Published Paper Id: IJRTI2505279
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: • 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
Publication Details: Published Paper ID: IJRTI2505279
Registration ID:203988
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c677-c681
Country: Gautam Buddha Nagar , UP, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505279
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505279
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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