A team of students from Carnegie Mellon University’s Heinz College of Information Systems and Public Policy investigated whether recycling facilities could effectively sort plastics by the sounds they ...
Abstract: Effective waste management is a growing concern in urban and rural areas alike, where improper segregation especially of wet waste leads to environmental degradation, unpleasant odors, ...
Abstract: This study presents a robust waste classification model leveraging a Custom Convolutional Neural Network (CNN) architecture to accurately categorize waste into Recyclable and Organic ...
🖼️ Waste Classification with AI: a key feature designed to help users easily identify the type of waste. 📸 Upload Evidence Module: verify whether users have correctly classified waste according to ...
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