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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

"ZORKO – AI-BASED FOOD DELIVERY WEB APPLICATION"

Satyam Panday Uchit Kumar

Ankit Patel

Department of Information Technology

[DR. M.C. Saxena College of Engineering and Technology] | Lucknow
DOI:https://doi.org/10.55041/ijcope.v2i5.119

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Abstract

This project presents ZORKO, an AI-powered online food delivery web application designed to address the growing demand for intelligent, efficient, and personalized food ordering experiences. Built on a modern technology stack—React.js for the frontend, ASP.NET Core for the backend, SQL Server for relational data storage, and Entity Framework as the ORM—ZORKO delivers a robust and scalable platform for both customers and restaurant administrators. The primary innovation of ZORKO lies in its AI-driven food recommendation engine, which employs content-based filtering to suggest dishes tailored to each user's preferences, order history, and dietary patterns. Beyond recommendations, ZORKO integrates real-time order tracking, a dedicated delivery agent module, and secure payment processing via Stripe, providing a comprehensive end-to-end food delivery solution. The administrative panel empowers restaurants with dynamic menu management, real-time order processing, and operational analytics. Security is enforced through JWT-based authentication and encrypted communication. The system demonstrates how integrating artificial intelligence into a conventional food delivery platform significantly enhances the user experience, operational efficiency, and business scalability.

Key Words: AI Food Delivery, ZORKO, Content-Based Filtering, React.js, ASP.NET Core, SQL Server, Entity Framework, Real-Time Tracking, Stripe Payment, JWT Authentication, Web Application

How to Cite this Paper

Panday, S. & Kumar, U. (2026). "ZORKO – AI-Based Food Delivery Web Application". International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.119

Panday, Satyam, and Uchit Kumar. ""ZORKO – AI-Based Food Delivery Web Application"." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.119.

Panday, Satyam, and Uchit Kumar. ""ZORKO – AI-Based Food Delivery Web Application"." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.119.

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References


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  • •Review follows editorial policy.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 06 2026
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