In response to the lasting negative effects of the COVID-19 pandemic on driver’s education and road safety, this thesis is intended to create an iOS application that recognizes and reports on poor driving habits. The end user opens the application to start a trip, the application records GPS data and information from APIs containing environmental information in a consistent, synchronized manner, patterns in said data are analyzed by the application to flag events representing different issues when driving, and when the user presses a button to end the trip, a report of the events is presented. The project was developed using a complete design process, including a full Research and Development process and detailed design documentation. Separate components of the application were developed in an iterative structure, with GPS information, the data synchronization system, API parsing and recording, data analysis, and feedback all being designed and tested separately. The application ultimately reached late beta status, with target stability and test results being achieved in typical use cases.