Water Quality Assessment Through Artificial Intelligence

Access to safe water, sanitation, and hygiene is a fundamental requirement for human health and well-being which is defined as Goal 6 of the United Nations’ (UN) 17 Sustainable Development Goals. If the pace of progress is not increased, billions of people may not have access to basic services such as safe water, sanitation, and hygiene by 2030. The demand for water is rising due to factors such as fast-growing population, urbanization, and greater requirements of water in agriculture, industry, and energy. Decades of mismanagement, poor management, over-extraction of groundwater, and contamination of water bodies by various pollutants have threatened water quality in recent years. As a result, water quality prediction and modeling have become critical for reducing water pollution. This study employs cutting-edge AI algorithms to forecast the Water Quality Index (WQI) and classify water quality. Machine Learning models have been developed to predict WQI. The results of the parameters used to estimate WQI show whether the water has been contaminated, what type of pollutant it contains, and so on. Data-driven applications that use data to become “intelligent” have wreaked havoc on daily life. The performance of modern water utilities could be enhanced by this digital technology revolution. Water utilities can use artificial intelligence to make the most of the information and data at their disposal in order to make better decisions, improve service delivery, and reduce costs.