Aquaforecast: Predicting Chennai's Water Availability and Demand

Water resource management is significantly important now, and its focus drifts toward future water supplies because of the rising demands and climatic conditions. In the context of “Aquaforecast: Predicting Chennai's Water Availability and Demand,” the accuracy and reliability of the water demand forecast have touched a very high mark. It has brought novel approaches toward advanced artificial intelligence by incorporating time series into machine learning techniques and data analysis. Such a system ought to be sensitive to past experience by creating expectations based on water use patterns, changes in demographic and climatic conditions, technological infrastructure, and socioeconomic factors. The system proposed here would mine big data on weather data using artificial intelligence, thus providing high-precision forecasts on water demand while taking into account the population's growth, trends, and usage patterns. Data Preparation, Feature Engineering, Model Training, and Validation are being implemented using a clear and understandable forecasting technique. The remaining tasks will culminate in the creation of the AI-powered solution. It will inform the decisions of water utilities and planners while concurrently working around the obstacles that stand between our now advanced understanding of this important consideration.