This paper proposes an architectural solution to integrate immersive features into fitness devices, enhancing user experience and athletic performance. The architecture is designed to be open and compatible with a broad range of fitness equipment, across different brands and models. Our approach seeks to recreate real-world environments through video playback of actual routes, enriched with contextual data such as speed and altitude variations. This data facilitates the dynamic control of compatible fitness equipment by adjusting parameters like resistance, slope, and inertia, to synchronize with the video, thereby creating an authentic and immersive experience. This approach ensures that the immersive experience can be consistently achieved, regardless of the device’s inherent capabilities. The architecture is divided into two subsystems. The first is focused on video capture and collecting contextual route data, including real-time recording of speed, altitude, and environmental factors. These recordings are processed and uploaded to a cloud-based platform, to foster a community-driven repository of shared routes. The second subsystem is supported by combining cloud and edge computing, integrating artificial intelligence for personalized adjustments, SIG BLE standards for communication with fitness devices and wearables, and the mobile application. This subsystem aspires to enable real-time adaptation of fitness equipment based on the athlete’s historical performance data and current exercise metrics. The user interface for both subsystems is provided through the mobile application, although the roles of the user who creates and publishes new routes and the user who utilizes these routes are separated. This paper details the architecture, discussing the rationale behind the selected components and technologies. It also outlines the ongoing implementation process and presents preliminary results that suggest the potential effectiveness of the proposed system.