An IoT- and Cloud-Based E-Waste Management System for Resource Reclamation with a Data-Driven Decision-Making Process

IoT-based smart e-waste management is an emerging field that combines technology and environmental sustainability. E-waste a growing problem worldwide, as discarded electronics can have negative impacts on the environment public health. In this paper, we proposed system. This system uses IoT devices sensors to monitor manage collection, sorting, disposal of e-waste. The in are typically embedded with detect amount given area. These provide real-time data e-waste, which then be used optimize collection processes. like asset us most cases; it recyclable, using efficient manner would perk. By employing machine learning distinguish contribute separating metallic plastic components, utilization pyrolysis transform waste into bio-fuel, coupled generation bio-char by-product, repurposing portions for development solar batteries. We its use also minimize impact; presents promising avenue sustainable resource recovery. Our cloud-based platforms help analyze patterns trends data. Autoregressive Integrated Moving Average, statistical method cloud, insights future garbage levels, useful optimizing schedules improving overall process.