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The issue of environmental pollution has become a vital issue and one of major concerns of the today’s world. It is mainly caused by toxic chemicals and includes air, water pollution and many more. This pollution results in degradation of human health. With the advancement in technology, various methods are applied in real life to handle this situation. Pollution becomes a social curse and whole world is under this threat (Dockery & Pope III, 1994). Various researchers across the globe are working in this domain to find an effective solution. Nanotechnology is one of the emerging technologies that offers many ways to fight with this problem. Nanotechnology is the study, process, and manipulation of materials at a molecular level. Nanotechnology has four major functions as follows: clean-up and purification, detection of contaminants, pollution prevention and maybe used to generate electricity (Fleischer & Grunwald, 2008). In today’s world where industries have been so advanced that our environment is filled with pollutants which are coming directly or indirectly from human activities. Human activities such as oil, coal, gas combustion and contaminants emitted from vehicles pollutes the air. Water pollution caused by waste disposal, oil spills and by-products of industrial processes. Thus, we need a technology that can clean the contaminants and use them in an appropriate way (e.g., to produce electricity) and improve the quality of the environment. With the advancement of technology, various efficient methods are gradually developing to solve and handle several problems in a cost effective manner (S. Chakraborty et al., 2016; S. Chakraborty, Mali, Banerjee, et al., 2018; S. Chakraborty & Bhowmik, 2015; Shouvik Chakraborty et al., 2016; Shouvik Chakraborty, Chatterjee, Ashour, et al., 2017; Shouvik Chakraborty, Chatterjee, Dey, et al., 2017; Shouvik Chakraborty et al., 2020, 2015; Shouvik Chakraborty, Mali, et al., 2017; Shouvik Chakraborty & Bhowmik, 2015, 2013; Shouvik Chakraborty & Mali, 2018; Datta et al., 2017; Fang et al., 2009; S. Hore et al., 2016, 2018; Sirshendu Hore et al., 2015; Lu et al., 2012; Mali, Chakraborty, & Roy, 2015; Mali, Chakraborty, Seal, et al., 2015; M. Roy et al., 2018; Mousomi Roy et al., 2019, 2017; Sarddar et al., 2015; Seal et al., 2017). The machine learning-based approaches are frequently used in different application domain to solve various problems efficiently. Machine learning is a branch of artificial intelligence that allows machines to behave intelligently (S. Chakraborty, Mali, Chatterjee, et al., 2018; Shouvik Chakraborty, 2020; Shouvik Chakraborty & Mali, 2020a, 2020b, 2020c, 2021; Miller & Brown, 2018; Mondal et al., 2021). With no exception, nanostructure based designs also exploits the advantages of the machine learning on several occasions that proves to be highly effective (Bioinspired Intelligent Nanostructured Interfacial Materials - Lei Jiang, Lin Feng - Google Books, n.d.). Although this article does not incorporate the concept of machine learning systems but it will be an interesting future work and the real-life implementation of this work can be benefitted with the blessings of machine learning based nanostructure systems.