Article
AI Based Water Well Prediction System Using Machine Learning
Current groundwater exploration methods require extensive geological surveys and manual investigation, making the process expensive and time-consuming. This research proposes an AI-enabled water well prediction analysis system that utilizes machine learning algorithms, satellite imagery, rainfall records, soil characteristics, groundwater levels, geological information, and GIS data to predict suitable locations for drilling water wells. The proposed system analyzes multiple environmental parameters to estimate groundwater availability with improved accuracy. The system reduces unnecessary drilling costs, minimizes resource wastage, and supports sustainable groundwater management. Experimental results demonstrate that AI techniques significantly improve prediction accuracy compared to conventional groundwater exploration methods.
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