Development of E Waste Management System Using Machine Learning
International Research Journal of Modernization in Engineering Technology and Science · 2024
Today, the advancement of technology has the power to change everyone's life.Although this innovation is beneficial, it creates serious effects on human health and environmental health.One of the main reasons for this is "e-waste" from electronic products.The use of electronic products worldwide has increased the amount of "e-waste" or electronic waste, which has now become a serious problem.Improper disposal of e-waste has become an environmental and public health problem as it is now the largest portion of water litter in the world's cities.Therefore, correct classification and management of e-waste requires the recovery of important information about waste.These growing wastes are inherently difficult and rich in metals such as neodymium, indium, palladium, tantalum, platinum, gold, silver, lead and copper, which can be recovered from waste and transported back around the world.Production cycle and daily use.In this project, a deep learning model is used to identify e-waste and general waste using image processing.The design model, on the other hand, selects the waste with good accuracy and takes less time.Wastes are divided into two groups according to the amount or value in the waste.By using this model effectively, we can solve e-waste management problems, improve recycling and contribute to environmental sustainability.