Harnessing Deep Learning for Sustainable E-Waste Management and Environmental Health Protection 

Abstract The AI-based e-waste management system presented in this study is a game-changing approach designed to solve the growing issues of e-waste collection, segregation, and its influence on environmental health. Rapid innovation and technological improvement have resulted in increased e-waste generation, necessitating an advanced, intelligent, and efficient strategy to e-waste segregation and disposal that takes into account environmental health. This system uses cutting-edge technology, particularly Artificial Intelligence (deep learning), to optimize e-waste sorting procedures while mitigating negative environmental health effects. The project aims to create a deep learning model (Sequential Neural Network) using TensorFlow, Keras, and Python programming tools, as well as Visual Studio Code for application development.