Integrating AI for Efficient Waste Management Systems: A Path to Sustainable Urban Development
Abstract
Waste management is a key challenge for sustainable cities. This research explores the use of AI algorithms to streamline waste collection, sorting, and recycling processes in urban settings. By utilizing data from waste collection patterns and predictive models, our AI system enhances resource allocation, optimizes routing for collection trucks, and improves recycling rates. This system contributes to the reduction of landfill waste and minimizes greenhouse gas emissions associated with waste processing. Our findings provide a roadmap for cities looking to implement AI-powered waste management as part of their sustainability initiatives.
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