Artificial Intelligence in Waste Electronic and Electrical Equipment Treatment Opportunities and Challenges


The growth of the e-waste in developing economies is putting a lot of pressure on the government bodies to implement a proper system for effective management of the discarded electronic products. It is also essential to monitor the progress as well as the failures to ensure well-informed decisions are implemented for e-waste management. Although, there exist many platforms exist to deal with the e-waste issues, but the concept of Artificial Intelligence can aid in faster and more effective e-waste management. The concept of Artificial Intelligence is relatively a newer concept which utilized various techniques for segregation into recycling of e-waste. The proposed study focuses on reviewing the past years papers from year 2015 to present for understanding the role of Artificial Intelligence in e-waste management. The paper also illustrates the scope of Artificial Intelligence in the management of e-waste in the coming time. In this paper we have employed Data Extraction and Synergy methodology to collect the data and write the review of papers by doing the analysis through graphs on the same basis. The opportunity associated with this is that the use of computational techniques is highly effective in the segregation of e-waste and the techniques also provide an effective vital routine in solving the heuristic problems related to E-waste in an effective manner. The novelty of the paper lies in explaining the impact and scope of Artificial Intelligence in the future and as well as in the present.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL