Work

Reducing Food Waste in Restaurants Using Machine Learning

Year: 2024

Type: article

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 It then makes innovative new dish recommendations using components that are almost out of date based on this information.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.

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem37945

Author: Mrs.Sneha Bankar

Language: English

Topic: Food Waste Reduction and Sustainability

Subfield: Food Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Responsible consumption and production

Open Access status: hybrid

OpenAlex ID: W4403397456

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