人工智慧與 Android Studio 行動應用程式開發的整合

Abstract

The integration of artificial intelligence (AI) into mobile application development represents a significant advancement in the evolution of digital technologies, enabling the creation of intelligent systems capable of analyzing information, recognizing patterns, interpreting images, processing natural language, and delivering personalized user experiences. In this context, Android Studio provides an integrated development environment that facilitates the creation of mobile applications through programming tools, specialized libraries, and artificial intelligence services.

The objective of this research is to analyze the technological and methodological strategies for incorporating machine learning models into mobile applications developed with Android Studio, considering their architecture, functionality, performance, and data protection mechanisms. A descriptive, exploratory, and applied approach is adopted, based on the analysis of technologies such as Kotlin, LiteRT, ML Kit, and cloud-based inference services.

The methodology encompasses the design of an intelligent mobile architecture, the identification of technological components, and the evaluation of indicators related to response time, model accuracy, resource consumption, and user experience. The analysis identifies advantages of on-device inference, process automation, and the integration of intelligent models into mobile devices, as well as challenges associated with security, privacy, compatibility, and computational efficiency.

It is concluded that integrating artificial intelligence into applications developed with Android Studio constitutes a relevant strategy for creating innovative, scalable mobile solutions that address real-world needs, provided that appropriate validation, optimization, and responsible information management mechanisms are incorporated.