Smart Canteen using Predictive Analysis

Abstract

The average person doesn't have much time these days to spend in the cafeteria simply waiting For the waiter to take their order. Many customers come to the canteen during their lunch break and Break, leaving them with little time to eat before heading back to their respective workplaces or educational institutions. As aresult, individuals can order food whenever they want without repeatedly ringing the waiter thanks to this software. Our Web application nenables customers to make earlier reservations for food. The customer must reserve their meal or seat using our website. When customers make a reservation for meals, the chefreceives the order and begins to prepare it.The current methods are manual, requiring paperwork for the billing system and file maintenance as well. In the recommended method The user will have access to the e-menu after making the payment online. Users will then provide feedback to restaurants on the basis of this feedback we recommend the best restaurants or hotels to the users. By donating leftover food to NGOs, we have attempted to reduce restaurant food waste in this system. In the event that eateries have any leftover food, NGOs will make a request. The restaurant management of that specific establishment receives this request.