id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5537	Pamula Raja Kumari	Automation for Sustainable Recycling in Smart City: Machine Learning-Driven Smart Waste Management System 	2025	10	.pdf	application/pdf	3644	202	36	This research introduces an ML-powered smart waste management system that leverages sensor-based automation and machine learning to enhance waste classification and bin-level monitoring Objectives: Developing an ML-powered smart waste management system that leverages machine learning and sensor-based automation to efficiently classify and monitor waste. The figure indicates that wet waste has the highest moisture content, whereas dry and recyclable waste display lower moisture levels, emphasizing the model's dependence on moisture sensors for waste classification while also revealing potential misclassification issues due to overlapping moisture values across waste types.	cache/cana-5537.pdf	txt/cana-5537.txt