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Zero Cost Online Food Delivery System with Machine Learning Prediction | IEEE Conference Publication | IEEE Xplore

Zero Cost Online Food Delivery System with Machine Learning Prediction


Abstract:

The growth of Food Delivery Application (FDA), helps customers to get variety of food items in their door steps. This helps restaurant to serve their customers with diffe...Show More

Abstract:

The growth of Food Delivery Application (FDA), helps customers to get variety of food items in their door steps. This helps restaurant to serve their customers with different food items, and to increase their business. FDA also provides jobs to millions of food delivery persons. But the major drawback of FDA is high commission charges for food orders. This article presents zero cost online food delivery system with ML prediction models. Zero cost online food delivery system provides user friendly interface to restaurant, home makers, customers and delivery persons. In this system, the restaurant or home makers can showcase their food items. The customers would be able to place the order. Delivery person can show interest towards delivery of the order. The customers have an option to select the delivery person for delivery and pay the delivery charges. All the payments are done through UPI payment. Advantage of the system is, it will not collect commission from home makers (or) restaurant owners and customers for the orders and also Machine Learning models is used to suggest food items based on different factors. Random Forest, Decision Tree Regression, K-Nearest Neighbor, and Extra Tree Classifier models are used to suggest food items to the customer.
Date of Conference: 17-19 May 2023
Date Added to IEEE Xplore: 08 June 2023
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Conference Location: Madurai, India

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