The explosive deployment of connected vehicle systems has opened up a new era of ITS systems, with the emphasis shifted from real-time data to analytics. This paper suggests employing a cloud based AI system for smart cars working with an AngularJS frontend, to manage analytics and trajectory efficiently. This powerhouse can record, process and display real-time views of vehicle operation - telemetry, diagnostics, predictive maintenance and navigation data - processing all the information through a super scalable cloud. The dynamic frontend, coded with AngularJS, provides a fluid browsing experience that keeps end users engaged. The cloud can take care of tasks like anomaly detection, driver behavior recognition and route optimization using AI algorithms, both improving road safety and efficiency. It also supports incremental deployment of modularity and on-line coordination with wireless vehicle system (e.g., IoT) based on edge-to-cloud alignment. The proposed solution can contribute by optimizing costs and reducing time that the fleet is not productive, while promoting a smarter mobility ecosystem based on data. This paper describe how the combination of AI and state of the art web technologies could enable the vehicular systems to get ready for a future of smart mobility.