Aplicação android nativa para corridas guiadas

Abstract

The increase in sedentary behaviour and excessive screen time has negatively impacted public health, making road running an accessible, effective, and widely recommended alternative.However, many practitioners — particularly amateur athletes — face difficulties in monitoring their progress and often rely on tools that do not operate reliably in regions with limited connectivity. This scenario highlights the need for technological solutions capable of functioning consistently even without continuous Internet access. This work presents the development of a native mobile application for the Android operating system, implemented in Kotlin. The proposed architecture adopts a hybrid data persistence model, combining SQLite for offline operation and local caching with Firebase, responsible for cloud synchronisation whenever network connectivity is available. Geographic tracking of activities was implemented through Foreground Services, ensuring continuous background execution, while the Text-to-Speech API was integrated to provide real-time audio feedback during workouts. The experiments demonstrated the effectiveness of the hybrid architecture, enabling continuous recording of essential metrics — such as distance, pace, and estimated calories — even in the complete absence of Internet connection. The main challenges identified include fluctuations in GNSS (GPS) accuracy under adverse environmental conditions and the need for battery consumption optimization due to prolonged use of background services. It is concluded that the application successfully meets its objective of providing a robust, accessible, and resilient monitoring tool, validating the use of native technologies as an effective support for public health promotion initiatives.