Eco Sort – Advanced Waste Classification System

Abstract

"Effective waste management and recycling plays a pivotal role in mitigating environmental pollution and fostering sustainability. Existing waste classification methods employing machine learning can identify waste categories such as glass, cardboard, and metal; however, they often fall short in differentiating recyclable from non-recyclable items within these categories. This study aims to investigate the development of an advanced waste classification model capable of not only identifying waste categories but also determining their recyclability status using deep Convolutional Neural Networks (CNNs)"