This study explores the integration of Artificial Intelligence (AI) and Environmental Science in Sustainable Urban Planning. The research aims to assess the impact and utility of AI techniques within the framework of Geographic Information Systems (GIS) for sustainable urban planning. It investigates how AI-enhanced GIS tools can improve urban development strategies and enhance sustainability assessments. The study employs spatial analysis with GIS to analyze data on land use, population density, and environmental indicators across several metropolitan areas. Machine learning algorithms are used to predict and simulate urban growth patterns, enabling the assessment of various urban planning scenarios. The findings reveal that AI-enhanced GIS tools significantly improve the precision of development forecasts and sustainability assessments. These tools facilitate more informed decision-making in urban planning by enabling precise predictions about urban expansion and its environmental impacts. The integration of AI with environmental science not only enhances the efficiency of urban planning processes but also contributes to the resilience and sustainability of urban environments. The study provides urban planners and policymakers with advanced tools to forecast and mitigate the environmental impacts of urbanization, thereby setting a benchmark for future studies in the realm of sustainable urban planning. This research demonstrates the practical application of AI in enhancing the capabilities of GIS for complex spatial analyses, contributing significantly to the field of urban planning. The integration of AI and environmental science through GIS-based spatial analysis offers a promising new paradigm for urban planning. This approach not only enhances the precision and efficiency of planning processes but also contributes significantly to the sustainability of urban environments. By leveraging the power of AI and the insights of environmental science, urban planners can foresee and mitigate the adverse effects of urbanization, thereby paving the way for more sustainable and resilient urban futures. This research seeks to establish a benchmark for future studies and practices in sustainable urban planning, highlighting the critical role of technology and science in shaping the cities of tomorrow.This study explores the integration of Artificial Intelligence (AI) and Environmental Science in Sustainable Urban Planning. The research aims to assess the impact and utility of AI techniques within the framework of Geographic Information Systems (GIS) for sustainable urban planning. It investigates how AI-enhanced GIS tools can improve urban development strategies and enhance sustainability assessments. The study employs spatial analysis with GIS to analyze data on land use, population density, and environmental indicators across several metropolitan areas. Machine learning algorithms are used to predict and simulate urban growth patterns, enabling the assessment of various urban planning scenarios. The findings reveal that AI-enhanced GIS tools significantly improve the precision of development forecasts and sustainability assessments. These tools facilitate more informed decision-making in urban planning by enabling precise predictions about urban expansion and its environmental impacts. The integration of AI with environmental science not only enhances the efficiency of urban planning processes but also contributes to the resilience and sustainability of urban environments. The study provides urban planners and policymakers with advanced tools to forecast and mitigate the environmental impacts of urbanization, thereby setting a benchmark for future studies in the realm of sustainable urban planning. This research demonstrates the practical application of AI in enhancing the capabilities of GIS for complex spatial analyses, contributing significantly to the field of urban planning. The integration of AI and environmental science through GIS-based spatial analysis offers a promising new paradigm for urban planning. This approach not only enhances the precision and efficiency of planning processes but also contributes significantly to the sustainability of urban environments. By leveraging the power of AI and the insights of environmental science, urban planners can foresee and mitigate the adverse effects of urbanization, thereby paving the way for more sustainable and resilient urban futures. This research seeks to establish a benchmark for future studies and practices in sustainable urban planning, highlighting the critical role of technology and science in shaping the cities of tomorrow.