Smart Multi-restaurant Food Ordering And Delivery System

• Author(s):

  Lalitha. C | B. Shabin Thanga Poocharam | S. Abinaya

• Keywords:

  Multi-Restaurant Food Ordering System, Collaborative Filtering, Convolutional Neural Network, Real-Time Delivery Tracking, Route Optimization, Three-Tier Architecture, RESTful API, JWT Authentication.

• Abstract:

  The Smart Multi-Restaurant Food Ordering And Delivery System Is An Advanced Food Delivery Platform Built To Overcome The Limitations Of Traditional Single-restaurant Ordering Applications. The System Allows Users To Order From Multiple Restaurants In A Single Transaction, Eliminating Multiple Payments, Separate Order Tracking, And Redundant Delivery Charges. The System Is Developed Using React.js As The Frontend Framework Deployed On Vercel, Python Flask As The Backend REST API, And PostgreSQL As The Relational Database. Payment Processing Is Handled Through Razorpay, And Location Services Including Restaurant Discovery, Delivery Tracking, And Route Optimization Are Powered By The Mapbox API. The Platform Integrates Artificial Intelligence And Machine Learning Technologies For Food Pairing Recommendations Using Collaborative Filtering, And A Convolutional Neural Network(CNN) Based Hygiene Monitoring System Achieving Approximately 91% Classification Accuracy. A Multi-stop Route Optimization Module Ensures Efficient Delivery Path Planning For Orders Spanning Multiple Restaurants. The System Adopts A Three-tier Architecture Comprising A React.js Presentation Layer, A Python Flask Application Layer, And A PostgreSQL Data Layer. Key Features Include A Smart Multi-Restaurant Cart With Single-checkout, AI-powered Recommendations, Realtime Mapbox Order Tracking, And JWT-based Role-based Access Control. The Platform Supports 10,000 Or More Concurrent Users With A 99.5% Uptime Target.

---

Other Details

• Paper id:

  IJSARTV12I4105105

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-21

Download Article