This study assesses groundwater quality and well suitability using the Groundwater Quality Index, geospatial mapping, and multi-criteria decision-making to promote sustainable resource management. The results show that 83% of the wells exhibit excellent water quality, with GWQI values ranging from 7.299 to 11.167, while Well 1 displays significant degradation, with a value of 54.868, indicating the need for urgent remediation. Geospatial analysis identifies the area near Well 1 as a high-priority monitoring zone, highlighting the value of spatial tools in environmental governance. Key correlations also emerged, such as aging infrastructure and narrower well diameters being associated with improved water quality, while higher flow rates reduced contamination risks. The computational methodology identified Well 6 as the most suitable source, followed by Well 5, whereas Well 1 was the least suitable, indicating the need for adaptive infrastructure. The findings align with Sustainable Development Goals 6 and 11 by linking well design to environmental health and urban resilience. The integration of GIS and computational models combines civil engineering with digital innovation, helping policymakers balance groundwater supply and demand. Adaptive analytics and contextual planning mitigate risks while advancing equitable, climate-resilient water security.