Garbage classification using convolutional neural networks (CNNs)

Proper garbage classification is essential for effective waste management and environmental sustainability. This research paper presents a comprehensive study of using Convolutional Neural Networks (CNNs). The objective to develop an accurate automated system leveraging the power deep learning. proposed CNN model achieves impressive accuracy 98.45%, demonstrating its efficacy in classifying different categories. encompasses data collection, preprocessing, architecture, training methodology, evaluation. results indicate potential CNNs revolutionizing practices paving way more sustainable future.