Intelligent Development of Smart Cities: Deepint.net Case Studies

Deepint.net is a platform that has been designed to use Artificial Intelligence models for the analysis of datasets and real-time data sources, all without programming This platform can be customized to read any type of data from webs, files, databases, sensors, it can also stream data in real time if needed. This paper presents deepint.net and how it can be used to construct a smart city management platform in a highly attractive, user- friendly and intuitive visualization environment. Deepint.net guides the creation and configuration of algorithms that analyze data optimally. The platform makes it possible to create dashboards for better visualization experience, moreover, they can be easily integrated in any other online application. This paper presents an efficient cyberphysical platform for the smart management of smart cities. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of multifunctional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suite for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; before, the trend was to come up with solutions for megacity management, now the focus has shifted creating intelligent neighbourhoods, districts or territories. In this paper, the platform is presented, and its architecture and functionalities are described.