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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Development of novel real-time intranet-based food ordering system

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  • Development of novel real-time intranet-based food ordering system

S. V. Viraktamath, Raghavendra Kowtal *, Akash Patilkulkarni, Rachit Alagundagi and Afreen Baddurkhan

Electronics and Communication Engineering Department, Shri Dharmasthala Manjunatheshwara College of Engineering
& Technology, Dharwad, Karnataka, India.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 155-161
Article DOI: 10.30574/wjarr.2023.18.3.1015
DOI url: https://doi.org/10.30574/wjarr.2023.18.3.1015
 
Received on 19 April 2023; revised on 30 May 2023; accepted on 01 June 2023
 
In today's fast-paced modern world, individuals often face time constraints that prevent them from spending ample time in the canteen, waiting for their food. To address this issue, an innovative approach is proposed i.e. Intranet-based food ordering system that offers convenience to both students and faculty. This system effectively tackles the drawbacks of the traditional queueing systems. Our proposed solution acts as a user-friendly medium for ordering food effortlessly from the cafeteria it uses technologies like HTML5, CSS3, JavaScript, Node.JS, Maria DB. It revolutionizes the process of taking customer orders. Through the Intranet food ordering system, a comprehensive online menu is made available, enabling customers to conveniently place their desired orders. Furthermore, customers can easily track the status of their orders. Since this system is implemented within a specific area such as campus, the order volume remains moderate, allowing for efficient service. Payments can be made online or through a pay-on-pickup (self-service) approach. To ensure enhanced security during the ordering process, individual user accounts are maintained, with each user being assigned a unique ID and password.
 
HTML; CSS; JAVASCRIPT; NODE.JS; MARIADB; VS CODE STUDIO; API
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-1015.pdf

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S. V. Viraktamath, Raghavendra Kowtal, Akash Patilkulkarni, Rachit Alagundagi and Afreen Baddurkhan. Development of novel real-time intranet-based food ordering system. World Journal of Advanced Research and Reviews, 2023, 18(3), 155-161. Article DOI: https://doi.org/10.30574/wjarr.2023.18.3.1015

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