Machine Learning for Smart Waste Management and Recycling Optimization
Abstract
Traditional waste management systems often struggle with inefficiencies in waste collection, recycling, and landfill management. This paper explores the integration of machine learning in smart waste management, focusing on real-time waste classification, predictive analytics for optimized collection routes, and AI-driven recycling automation. Computer vision models and deep learning techniques are applied to improve waste sorting accuracy, reducing landfill waste and increasing recycling efficiency. Case studies highlight successful implementations of AI-powered waste management systems in urban environments, promoting sustainable waste disposal practices.
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