Augmented Reality for Public Engagement in Sustainable City Planning: Cloud and Machine Learning Integration

This paper explores how the convergence of augmented reality (AR), cloud computing, and machine learning might transform public engagement in sustainable city planning in today's dynamic urban environment. Citizens may experience proposed urban developments in unprecedented detail, including their possible social, environmental, and infrastructural impacts, due to the use of augmented reality. The potential for AR, cloud computing, and Support Vector Machines (SVM) to dramatically increase citizen participation in green urban design is investigated. With AR, individuals may explore potential new developments in virtual cityscapes. Intricate linkages within the dynamic dataset created during public participation are captured by the system's usage of SVM to evaluate and understand user comments. The ability of SVM to deal with non-linear patterns is crucial to gleaning useful insights from stakeholders' complex and varied contributions. In order to ensure that all parties involved in a system have access to the most up-to-date information, cloud computing plays a crucial role by enabling real-time collaboration and changes to the AR models This all-encompassing method not only improves the effectiveness of eco-friendly city planning, but also encourages openness and participation in policymaking. The suggested system represents a paradigm shift, demonstrating that innovative technology may be combined with informed citizenry to produce ecologically responsible and socially dynamic cities.