AI FOR PREDICTING WATER WASTAGE & SUGGESTING REDUCTION STRATEGIES

Water scarcity has emerged as one of the most critical environmental challenges of the 21st century. Rapid urbanization, industrial expansion, agricultural intensification, and climate change have significantly affected the availability of freshwater resources. At the same time, human activities continue to contribute to large-scale water wastage due to leakage, inefficiency, poor infrastructure, and lack of awareness. Traditional approaches to water monitoring rely on manual inspections or periodic meter readings, which are incapable of identifying real-time wastage. Artificial Intelligence (AI), in combination with IoT-based smart water meters, offers an intelligent solution for detecting water wastage, analyzing consumption patterns, predicting future usage, and providing suggestions for water conservation. This research proposes an AI-driven approach for predicting water wastage through forecasting algorithms, anomaly detection models, and sensor-based monitoring systems. The study examines how real-time data from households, industries, and municipal water networks can be analyzed using machine learning techniques to identify unusual consumption, detect leaks, and recommend strategies to minimize wastage. This project highlights the potential of AI to transform the traditional water management landscape, enabling sustainability, cost reduction, and improved decision-making for consumers and administrations. The ultimate goal is to develop a system that contributes to environmental protection and supports the global mission of efficient water use.