K-Nearest Neighbor (KNN) Algorithm based Dreck Management System

In recent years, with the expanded urbanization, the garbage output has tremendously increased. An increase in the population has resulted in a significant worsening status of cleanliness. To overcome this challenge, a research effort has been initiated towards proposing a dreck management system, where dreck refers to junk or trash present inside the bin. The spillover from the dreck affects the civic places by polluting the surrounding environment leading to different ailments in the surrounding area. This necessitates the need to implement a smarter waste management system to manage the garbage collection and monitoring process. In this paper, a Dreck management system has been introduced by utilizing a Jupyter Notebook. The proposed system has functionalities like garbage monitoring and alerting the authority when the dustbin becomes completely full. From the results of the proposed model, it is evident that the even the garbage collection process can be streamlined with the emerging intelligent and autonomous data processing technologies.