Smart communities: enhancing local processes through artificial intelligence and quality of life

Abstract

This study explores the impact of smart communities on residents' quality of life, with a focus on the role of Artificial Intelligence (AI) in enhancing local processes. Smart community is one of the innovative solutions in which local processes could be enhanced through the potential of AI because, it can optimize the resource allocation, improve citizen engagement, and foster sustainable development. This study investigates the transformational potential of AI in enhancing local processes and quality of life in smart communities using a mixed-methods approach, combining surveys, case studies, and interviews. The data triangulation employed through these diverse data collection methods enhances the reliability of the findings by cross-validating results and providing a more comprehensive understanding of AI's impact. The study evaluates the integration of AI-driven solutions in sectors such as transportation, public safety, energy management, and healthcare within smart communities. The findings reveal significant improvements in crime reduction, transportation efficiency, and energy consumption, emphasizing the critical role of community engagement and effective data management. This research contributes to the development of AI-driven smart communities, offering insights for policymakers, urban planners, and community leaders on how to harness AI for creating more sustainable and responsive cities.