Inflow and Infiltration Water Problem Detection Using Machine Learning

We frequently experience traffic congestion on the roads and in the streets. Sometimes, especially during the rainy season, water remains stagnant on the road for even two or three days, which significantly increases traffic. In the case of the drainage system, waterlogging is solely the result of poor management. The drainage system is frequently inactive, which is problematic for onlookers. Because they are unable to move freely, pedestrians encounter numerous difficulties. The city's residents are burdened by this water logging, which has negative social, physical, economic, and environmental effects. In order to analyse, several classifiers’ outputs are assessed. Additionally, it establishes a method for determining correlations between rainfall amounts, water use, and wastewater flow to detect infiltrations and inflow water in wastewater channels. This data is collected from a specific location and processed effectively using machine learning.