Reclaiming Resources With Iot And Cloud-Based E-Waste Management And Data-Driven Decisions

Abstract

Internet of Things-based smart e-waste management is a new eco-friendly technology. Wasted electronics harm humans and the environment, making e-waste a worldwide concern. This study suggests a smart electronic garbage management technique. E-waste collection, sorting, and disposal are managed by this system using IoT devices and sensors. These sensors' real-time data may assist in the collection and disposal of electric waste.People typically see e-waste as a valuable resource due to its recycling potential. Machine learning has the potential to recycle metals from discarded electronics into solar cells, convert plastics into biofuel via pyrolysis, and create biochar. A sustainable waste management and material recovery alternative, they optimise utilisation and reduce environmental impact. The recommended method uses cloud-based systems to analyse data trends and patterns. A cloud-based autoregressive Integrated Moving Average can estimate garbage levels, which may assist in optimising waste collection schedules and processes.