Artificial Intelligence-Powered Chatbots for Waste Management: A Vision for Circular and Smart Cities

Abstract

Innovative solutions are needed to address the major issues associated with the efficient management and recycling of garbage in metropolitan environments. To overcome these obstacles, this study abstract investigates the use of artificial intelligence (AI) in trash management. Municipalities and recycling centers can increase garbage collection efficiency, improve sorting accuracy, forecast waste generation patterns, inform the public, identify illicit dumping, and advance a circular economy by utilizing AI-driven solutions. Smart garbage collection is one important area where AI shows its potential. We used the study of these five chatbots to help us construct the processes for gathering data, instruction, developing, and testing a chatbot using different natural language processing (NLP) techniques, which are covered in the second section of this work. We also present some conclusions and comments on all facets of the topic to evaluate if they might be useful to us in future research. Additionally, the successful development of a chatbot devoted to the circular economy will be the aim of our research on this subject in the future.