MealyDeals - A Restaurant Automation and Recommendation System

Authors(3) :-Prathamesh Kulkarni, Rashmi Kangane, Karishma Kumawat

A restaurant recommendation and automation sys-tem is a smart food ordering system that enables user to order using a tablet menu instead of normal paper menu. User can also view ingredients for the dish while ordering food and place a request to eliminate some of them. Customers can also play games in the tablet provided while will help them in terms of entertainment during the waiting time till the dish is ready, not only entertainment but also gaining money points through that games which he can redeem the next time he visit the restaurant. This strategy will not only entertain the customer but also be helpful for the restaurant business to grow with frequent visits of customers and more ordering of dishes.The chef can also be able to see the upcoming dishes on a dashboard on his side which will help him with keeping track of orders and serving those orders. The administrator of the restaurant would have a full control on activities like add dish, remove dish, calculate revenue of the restaurant, game control, etc. This system in sense of recommendation will help customers to order food in an easy way but knowing the choices of the customer the system would recommend food based on customer visit, previous taste, seasonal taste, etc.

Authors and Affiliations

Prathamesh Kulkarni
Reading BE INFT, Vidyalankar Institute of Technolgy, Wadala, Mumbai, Maharashtra, India
Rashmi Kangane
Reading BE INFT, Vidyalankar Institute of Technolgy, Wadala, Mumbai, Maharashtra, India
Karishma Kumawat
Prof. Deepali Shrikhande, VIT, Wadala, Mumbai, Maharashtra, India

Index Terms—restaurant recommendation, restaurant automation

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 677-682
Manuscript Number : CSEIT11833112
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prathamesh Kulkarni, Rashmi Kangane, Karishma Kumawat, "MealyDeals - A Restaurant Automation and Recommendation System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.677-682, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT11833112

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