IJBTT

Restaurant Ordering System using AR, Website Development and Recommender system using ML
	© 2020 by IJCTT Journal
	Volume-68 Issue-4
	Year of Publication : 2020
	Authors : Ashutosh Gursale, Kishori Navale, Ketan Bhosale, Prof. Hanamant B. Sale
	DOI :  10.14445/22312803/IJCTT-V68I4P123

How to Cite?

Ashutosh Gursale, Kishori Navale, Ketan Bhosale, Prof. Hanamant B. Sale, "Restaurant Ordering System using AR, Website Development and Recommender system using ML," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 139-144, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P123

Abstract
The major goal of the system is to increase efficiency of customer interaction and overall customer satisfaction of a restaurant. The system will provide functionalities to the end-user in order to book a table, to get a virtual view of the dish along with the specifications and to verify credibility after going through customer reviews. This system will also recommend most favourable dishes to the customer from the menu using machine learning, this is implemented with the information on previous orders made by them. This will help the restaurant to establish an online presence and build new customer relations while improving the already existing ones.

Keywords
online-branding, app, machine-learning, augmented-reality, website-development

Reference
[1] Hossain, F. M. T., Hossain, M. I., & Nawshin, S. (2017). “Machine Learning Based Class Level Prediction of Restaurant Reviews”. 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). Doi:10.1109/r10htc.2017.8288989.
[2] Gupta, A., & Singh, K. (2013). “Location Based Personalized Restaurant Recommendation System for Mobile Environments”. 2013 International Conference On Advances In Computing, Communications And Informatics (ICACCI). DOI:10.1109/ICACCI.2013.6637223
[3] “The Development of Self-service Restaurant Ordering System (SROS)” M. Z. H. Noor, A. A. A. Rahman, M. F. Saaid, M. S. A. M. Ali, M. Zolkapli Faculty of Electrical Engineering UniversitiTeknologi MARA 40450 Shah Alam, Selangor, Malaysia This email address is being protected from spambots. You need JavaScript enabled to view it. ,2012 .
[4] “An Augmented Reality Mobile System for Products Display Nuwee Wiwatwattana, Sasivimon Sukaphata, Peerunya Puchongkarat, Sunisa Chaigrajang, Hathairat Khunratchatapairoj Srinakharinwirot University, 114 Sukhumvit 23, Bangkok 10110, Thailand, 2013.
[5] Foody – Smart Restaurant Management and Ordering System. VindyaLiyanage, AchiniEkanayake, 1Hiranthi Premasiri, 1Prabhashi Munasinghe, 2Samantha Thelijjagoda 1 Faculty of Computing 2 Faculty of Business Sri Lanka Institute of Information Technology Malabe, Sri Lanka This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it. ,2018.
[6] E-commerce Personalized Recommendation System Based on Multi-Agent,GUO Yan-yan College of Computer Yantai University Yantai, China LIU Qi-cheng College of Computer Yantai University Yantai, China,2010.
[7] e-Restaurant: Online Restaurant Management System for Android, Dr.Vinayak Ashok Bharadi Associate Professor, IT Department, Thakur College of Engineering & Technology Kandivali(E), Mumbai, India. VivekRanjan, NikeshMasiwal, Nikita Verma UG Student, IT Department, Thakur College of Engineering & Technology Kandivali(E), Mumbai, India,2013.
[8] Code Heroku - Building a Movie Recommendation Engine in Python using Scikit-Learn. 2019
[9] Data Mining: Associations
[10] ResearchGate – Structure of a Recommender System. 2018