• Amreesh Tiwari
• Arvind Kumar Pandey

An Artificial Intelligence (AI)-powered water monitoring system that continually examines water quality and quantity in real-time by using state-of-the-art sensors, seamless communication networks, and cloud computing capability. Beyond the norm, this advanced technology painstakingly gathers information on dissolved oxygen concentrations, pH levels, temperature swings, water levels, and a plethora of other crucial characteristics. It is unique because of machine learning's transformational power, which turns this data into a wealth of useful insights. This technology has a huge influence. It has the power to completely change how we handle our limited supply of water, bringing in a new era of sustainability and efficiency. It claims to reduce pollution and water waste while also providing everyone with access to clean, safe water. This combination of environmental stewardship and technology promises a more sustainable, brighter future.

AI-Based Water Monitoring ,Water Quality Analysis, Data Collection, Data Preprocessing, Machine Learning, Deep Learning, Time Series Analysis, Anomaly Detection, Data Security, Regulatory Compliance, Data Privacy, Environmental Monitoring, Real-time Monitoring Internet of Things(IoT), Predictive Analytics, Feature Engineering, Clustering Classification, Data Visualization, Data Integration.

"AI based Quality Analysis of Water using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c479-c486, November-2023, Available :http://www.jetir.org/papers/JETIR2311268.pdf

"AI based Quality Analysis of Water using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc479-c486, November-2023, Available at : http://www.jetir.org/papers/JETIR2311268.pdf