Reducing Food Waste in Restaurants Using Machine Learning

Reducing Food Waste in Restaurants Using Machine Learning

Priyanka Shewale, Saniya Dhumane, Aditya Mojad, Ruchita Waditke,

Guide Name: Mrs.Sneha Bankar.

Department of Artificial Intelligence & Data Science

Dr. D. Y. Patil College of Engineering and Innovation

Abstract

By using machine learning to manage materials based on their expiration dates and recommend new recipes, this initiative seeks to reduce food waste in restaurants. In order to anticipate any waste, the system analyse data on inventory levels and expiration dates in real time. It then makes innovative new dish recommendations using components that are almost out of date based on this information. This method not only minimizes food waste and maximizes inventory, but it also lowers expenses and improves menu diversity. The idea encourages economic efficiency and sustainability in restaurant operations by converting excess ingredients into culinary potential.

Keywords

Food waste · Wasteful behavior · Restaurant waste · Consumer waste ·Restaurant management Out-of-home waste.