Distributed Food Ordering System Using Python with Django And Machine Learning

Authors

  • Ritika Gautam, Roshni Marshettiwar, Sakshi Kopulwar, Sulochana Pise & Dr.Ashish Jirapure

Keywords:

order food, online, payment, food delivery service

Abstract

Online food ordering system is a website through which everyone can place an order within a few minutes with a few clicks. In the fast-paced time of today, customers can get their food without wasting their time by just going through this online food ordering system. The system increases the scope of business by reducing the labor cost involved. Online food ordering systems have a lot of scope, and anyone can order food from anywhere in the city within a few clicks. Nowadays everyone is connected to the internet and having smartphones in pockets. With the help of this project, anyone who is hungry can directly connect to the restaurant and order different choices of dishes. Also, customers can easily track the orders with the menu. The management can improve food delivery, food ordering service and the customer database. The main motivation to develop the system is to save time. The food industry has always been a profitable and cost-effective industry. Online food ordering system allows customers to browse restaurants and search for dishes they may not have been familiar with before. By using an online food ordering system, customers can get more food options. In a similar way, customers may discover menu options by browsing a digital menu complete with high quality food photos with their price. Eating is fun and adventurous if one can order without wasting time. Rushing can also be overcome by using an online food ordering system.

References

Patel Palak, Raj Nirali, Patel Krishna, Patel Lalit research on, “Automated Food Ordering Research and Development”, published in IJERD (2015).

Sushil Mahajan, Prerna Kakde, Ruchi Yeole, ”customizable online food ordering system with real time consumers. Feed back “, IEEE Mumbai on wireless technology and Applications (IMWTA).

Ayob J. Fatemi, Khairunnisa K., Md. Helmy A. Wahab, M. Erdi Ayob, M. Izwan Ayob, M. Sheikh, “online Food Ordering System” MASUAM (2009) journal of computing.

Lilavati Banerji, I. M. Sharma, O. S. Waghale and T. S. Bhattad , “Towards the online networking platform of restaurant business process for food ordering in Symbiosis Deemed University Pune. The architecture development, A study of AMITY university Gujrat state India”, int J. Sci. Res Publ., vol. 8,No.5,PP 46-55,2018.

O. I. Chaturvedi, and A. K. Oak”, Towards the online networking platform of Restaurant Business in Mumbai : the architecture development”, Vol9,No.2,app. 1174-1178,2017.

Krishna Prasad, Shreya Sharma A. Singh, S. Pathan, and V. Kanake, “Application of Online Food Ordering System”, gujrat , vol. 180, no. 6, pp. 22–24, 2016.

S.J.Chauhan, Gayatrijethee, PriyaYadav, SnehalKorade, Priyanka Teli, “Implementing Customizable Online Food Ordering System Using Web Based Application”, IJISET (2015).

Saurabh Singh, Jaya Patel, Mayurkumar, R. Singh, “Online Food Ordering System for Restaurants using web based application system technology ”Technical Library Delhi, Paper 220 (2015).

Downloads

How to Cite

Ritika Gautam, Roshni Marshettiwar, Sakshi Kopulwar, Sulochana Pise & Dr.Ashish Jirapure. (2021). Distributed Food Ordering System Using Python with Django And Machine Learning. International Journal of Research & Technology, 9(2), 24–28. Retrieved from https://ijrt.org/j/article/view/318

Issue

Section

Original Research Articles

Similar Articles

<< < 1 2 3 4 

You may also start an advanced similarity search for this article.