Abstract

With the increase in industrial output, a large amount of garbage results as a byproduct. The question of how to collect garbage, particularly in areas where proper waste bins are not present requires serious consideration. This paper explores the issue of the mapping of waste that one encounters during daily walks onto a publicly available mapping platform. Our proposed model also uses a machine learning model to predict the volume of waste so that the municipal authorities can decide on the efficient placement of garbage at a very local level. The results of the simulated experiments are presented along with.