Published Paper Details:

The rapid urbanization and technological advancements of the 21st century have given rise to the concept of smart cities, where innovative technologies are harnessed to create urban environments that are efficient, sustainable, and livable. This abstract delves into the design and implementation of a comprehensive Big Data model tailored to improve the quality of life in smart cities. By leveraging the power of data analytics, this model integrates diverse urban data sources, enhances infrastructure efficiency, fosters citizen engagement, and promotes a holistic approach to urban development. The Big Data model integrates data from various sources such as sensors, social media, public records, and city infrastructure. By employing advanced analytics, patterns and trends within this data are identified. This integration provides city planners with valuable insights into areas such as traffic flow, energy consumption, waste management, and public services usage. The model utilizes predictive analytics to optimize smart city infrastructure. By analyzing historical and real-time data, it anticipates future demands on resources such as energy, water, and transportation. This proactive approach enables efficient allocation of resources, reduces wastage, and ensures the sustainability of essential services.