Abstract
Smart cities use advanced technologies to create more efficient, sustainable, and livable urban environments. Central to this transformation is the integration of artificial intelligence (AI), which enhances urban planning through data analysis and predictive modeling. This paper explores the concept of convergence within smart cities, focusing on citizen-centric design and the application of Generative Adversarial Networks (GANs) to visualize future urban spaces. During a research to redesign Don Bosco's public space in Bolzano, Italy, six scenarios were developed. Four scenarios drew from Eurac's 2020 research on sustainable development, while two new scenarios addressed current urban issues and a dystopian future vision. The research utilized qualitative and quantitative methods to gather feedback from residents, ensuring an inclusive participatory process. The findings highlight the essential role of community involvement in urban planning and demonstrate AI's potential in generating predictive +models for future urban scenarios. This study underscores the importance of visual tools in enhancing public participation and informed decisionmaking in urban redevelopment