• Naseema Shaik
• Dalal Ali Saeed Nassar Al-qahtani
• Fatimah Eidhah Amer Al-Nahdi
• Sara Muhammad Abdullah Alshehri
• Mona Zamil Dhafer Al-shahrani,Fatimah Abdullah Jubran Al-Abbas

The main aim of the project is to provide fast services to their college students, Staffs etc. Usually, People must go to canteen and order the food and wait in queues for a long time to get the orders. But with the help of this app, you must follow a very simple process. This app will provide a menu containing different categories. Users must register with valid details to login with the canteen. Users also get recommendation for food items. The system manages all the details of food items which contains name, description, image, price etc. Admin can view the confirm order and update the delivery status of the order accordingly. Customers must mention the department name and the room number in the building in the location so that the food will be delivered to the rooms of their respective departments. Here we will use one of the data mining algorithms “K-means clustering algorithm” to make the menu items in different clusters. To build our application, we will use Android Studio as a development environment with java programming language and MySQL database Server to store database.

K-means, Canteen, Java, Android Studio, Mobile application, MySQL

"COLLEGE CAFETERIA USING DATAMINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g137-g142, March-2023, Available :http://www.jetir.org/papers/JETIR2303622.pdf

"COLLEGE CAFETERIA USING DATAMINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg137-g142, March-2023, Available at : http://www.jetir.org/papers/JETIR2303622.pdf