Abstract
The COVID-19 pandemic has increased the confusions of waste management. Our fear towards the disease has forced us to shift to the usage of personal protective equipment and the usage of disposable equipment. The issue connected with the existing system has compelled us to change to a new process. Change in implementing environment oriented substances like bio plastics and coming with sustainable technologies are very much needed to fight future pandemics. The idea to promote a sustainable plastic waste management technology as well as to decrease plastic pollution can be achieved by giving priority to our systems to bring changes in personal and institutional policies. Coming up with measures that are encouraging circularity and sustainable practices and private-public investments in infrastructure, researches are helping in bringing the upcoming changes. To address the difficulties posed by the current methodologies, it is imperative to build efficient waste management systems using cutting-edge technologies. Artificial intelligence (AI) has emerged as an important technology with lot of functions. Studies have also documented the use of AI methods for solid waste management. The most current developments in the use of AI approaches for solid waste management are reviewed critically in this article. The important barriers that are avoiding AI from its usage in waste management are highlighted. These include the lack of reproducibility, the choice and accessibility of pertinent data, and the paucity of applications in actual solid waste. Suggestions for work in the future are done on the basis of the loopholes already studied. All parties involved in the solid waste management industry, such as policymakers, governments, waste management companies, municipalities, and researchers can gain from this review.