Statistics

    Map

Twitter


Food Ordering Management using Recommendations

( Vol-6,Issue-6,June 2019 ) OPEN ACCESS
Author(s):

Alfiya M. Shaikh, Aditya C. Shetgaonkar, Sandesh S. Dalvi, Shubham S. Sawant, Kruti V. Singh, Prof. Sagar K. Naik, Prof. Rajesh K. Gauns

Keywords:

Apriori algorithm, Dataset, Food ordering system, Internet, Recommendations, Smart phone.

Abstract:

The proposed food ordering management system enables the customer to order the food by selecting the food items from e-menu by registering on the web application or intranet of the institute. The system is useful for a canteen which faces lot of rush during the break time and also if the work in the canteen is manual such as taking food orders at the counter and subsequently calculating the cost. Also, there is dissatisfaction among customers due to delay in orders and orders not being attended for long.These issues are addressed and solved in the proposed system. In this project, we have proposed a system that can simplify most of the manual work in the canteen, from taking orders to calculating bills. Customers can order their food from anywhere in the institution using the website, making it a hassle-free task. The placed order will be displayed on the display screen and the staff will keep the order ready for the customer. Additionally, by making use of Apriori algorithm, recommendations will be provided to the customer. The proposed system will help the administrator of the system to have a clear idea, when and which food items are preferred more on a day-to-day basis.

ijaers doi crossref DOI:

10.22161/ijaers.6.6.17

Paper Statistics:
  • Total View : 32
  • Downloads : 5
  • Page No: 163-166
Cite this Article:
Click here to get all Styles of Citation using DOI of the article.