| Abstract | ABSTRACT:
Online food delivery services have proliferated in recent years, and this has led to an increased demand
for platforms that can handle large volumes of traffic while delivering a seamless user experience. As
more consumers turn to digital platforms for ordering food, the need for scalable, responsive, and
efficient solutions becomes critical. This paper explores the design, development, and implementation
of a scalable online food ordering platform utilizing the MERN stack (MongoDB, Express.js, React.js,
and Node.js). The primary goal of this project is to create a platform capable of managing high user
traffic, ensuring real-time order processing, and providing a user-friendly interface for both customers
and administrators. The system features a dynamic menu, secure user authentication, real-time order
tracking, and integrated payment gateways. MongoDB is used as the database solution because of its
flexibility and scalability, which allows the platform to handle large amounts of data and support rapid
growth. Express.js and Node.js are used as the backend, providing a robust and lightweight
environment for building scalable RESTful APIs. The front-end framework has used React.js to ensure
an interactive, responsive user interface that enriches the experience for the customers. This paper also
discusses the architectural decisions that shape the scalability of the system-issues of load balancing,
database partitioning, and the employment of caching mechanisms for enhancing performance.
Finally, real-time communication is also enabled due to the use of WebSockets, facilitating the need
for instant updates on orders and status notifications. The site was put through rigorous testing in unit
testing, load testing, and performance testing to ensure it was reliable and responsive even with heavy
usage. Challenges faced in the development, such as how to handle multiple concurrent requests by
users and data consistency, are discussed, along with the solution implemented to handle these
challenges. In conclusion, this research study shows the MERN stack to be a viable and effective
method to create scalable online food ordering applications that meet modern consumers’ demand with
high performance and usability.
Keywords:
MERN stack, online food ordering, scalable platform, real-time order tracking, user authentication,
MongoDB, Express.js, Node.js, React.js, database scalability, payment gateway integration, web
application development, frontend development, backend development, load testing, WebSockets,
microservices architecture, system performance, responsive user interface, NoSQL database, real-time
updates.
|
|---|
