This thesis focuses on the development and implementation of an advanced mobile iOS application, designed as an interactive tourist guide for the city of Đakovo. The application is intended to provide users with a comprehensive and intuitive experience in exploring the city's landmarks, including cultural, historical, and natural attractions. The main user interface is based on an interactive map that allows easy searching and filtering of content according to the individual interests of users, significantly facilitating the discovery of relevant points of interest. The application employs the Model-View- ViewModel (MVVM) architecture, which ensures a clear separation of business logic from the user interface, resulting in better code maintenance, greater scalability, and easier functionality upgrades in the future. SwiftUI, a modern and powerful technology for interface development on the iOS platform, was used for developing the user interface, further contributing to the responsiveness and fluidity of the user experience. Data on landmarks are stored in a Firebase database, allowing continuous updating and dynamic content within the application. Additionally, the application uses location services to track the user's current position, enabling precise navigation to the selected destination via different modes of transportation, such as walking, driving, or using public transport. One of the key features of the application is the integration of Text-to-Speech (TTS) technology, which allows users to listen to information about landmarks instead of reading it, thereby enhancing the application's accessibility, especially in situations where visual attention to the screen is challenging. In the future, the application offers significant potential for further development and enhancement. Potential upgrades include the integration of augmented reality (AR), which would allow users to interact with the real environment through digital overlays, as well as the introduction of artificial intelligence (AI) to provide even more personalized recommendations based on user preferences and behavior. This adaptability and potential for further development make the application a sustainable long-term solution that can continue to grow and evolve in line with technological advancements and changing user needs.