Software Development Manager, Chewy, Boston, MA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(01), 693–701
Received on 27 August 2024; revised on 02 October 2024; accepted on 05 October 2024
The article presents an innovative waste Container Management System for restaurants which incorporates the IoT and AI to increase effectiveness and decrease waste. Through smart dust bins that has embedded sensors and machine learning, the system can classify and measure food waste effectively in real time. This innovation affords the restaurants precise data on the waste cycles as well as the stock control to avoid over-ordering. The success of the proposed system can be also attested through high classification accuracy of food waste and the usage of models such as MLP which reached up to 96.44%. Through these technologies, food wastage, and operational costs are reduced while at the same time ensuring sustainable practices that have a reduced impact on the environment are employed. In general, the system supports better decision-making and increased profitability in the restaurant business concerning waste management and supply chain management. This optimised approach does away with the wastage which would have reduced revenues, consequently improving the business’ financial performance.
IoT (Internet of Things); Machine Learning (ML); TensorFlow; Food Waste; Recycling; Sensors; Classification; Mobile Application; Waste management
Preview Article PDF
Mihir Mehta. Intelligent waste management: Maximize profits and minimize waste using IOT and AI. World Journal of Advanced Research and Reviews, 2024, 24(1), 693-701. Article DOI: https://doi.org/10.30574/wjarr.2024.24.1.3062