Abstract
-This study introduces an intelligent e- waste management system, leveraging Convolutional Neural Networks (CNNs) integrated into a user-friendly web application. The system employs CNNs for precise image recognition and classification of e-waste items, including organic, metal, glass, clothes, paper, and electronic materials. Users can effortlessly submit e-waste information through the web interface, receiving tailored recommendations for eco-friendly disposal methods. This technology-driven approach aims to revolutionize e-waste management, providing an efficient and sustainable solution for the burgeoning e-waste crisis. Key Words: E-Waste, CNN (Convolutional Neural Network), Image Recognition, Sustainable Disposal and waste management
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