A Cross Platform Mobile Application for Indoor Navigation

The work presented in this paper aims to explore the use of Augmented Reality framework technology to develop an indoor navigation through mobile application for smartphones, which allows developers to create augmented reality experiences on mobile devices. The mobile application exploits the device's camera and sensors to track the user's location and to provide real-time directions through an augmented reality interface. It also incorporates machine learning algorithms to improve the accuracy of inferences and to provide personalized recommendations based on the user's preferences and behavior. The research focuses on comparison of different technical frameworks aspects of the developing mobile application, including the integration of Augmented Reality frameworks, machine learning algorithms, and navigation features. The mobile application has been tested in a real-world environment to evaluate its effectiveness and usability. The results of this research will contribute to the development of new technologies for indoor navigation and provide insights into the potential of Augmented Reality frameworks for creating immersive and interactive experiences.