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The development of smart cities has become a significant research focus in recent years, driven by the need to create efficient, sustainable, and secure urban environments. Several key technologies, such as machine learning and artificial intelligence, are instrumental in enabling the automation of processes and providing real-time insights into the urban environment. However, there are still several open challenges, including creating accurate algorithms to process and interpret large amounts of data and utilizing AI to analyze data patterns and automate tasks.