Abstract: The development of intelligent systems requires robust architectures and design patterns that ensure scalability, maintainability, and separation of concerns. This paper presents the design and implementation of a mobile application for recommending sustainable tourist destinations in Peru, employing a Clean Architecture approach in the backend and the MVC pattern in the frontend. The solution integrates a content-based recommendation engine using semantic embeddings generated through BERT, connected to open data sources from MINCE-TUR, SafeTravels, and OpenStreetMap. The proposed system was evaluated using three simulated user profiles, achieving an average similarity score of 0.83 and a more balanced distribution between traditional and emerging destinations. From a software engineering perspective, the system demonstrates decoupling between layers, modularity, interoperability with external APIs, and scalability potential. This architecture serves as a practical case study of applying modern design patterns to intelligent systems with an impact on sustainable tourism.

Cristhian Paolo Atuncar Yataco, Marco Antonio Lopez Salinas and Jos´e Alfredo Herrera Quispe. “Mobile Application Based on Clean Architecture for Sustainable Tourism Recommendation Using BERT”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.11 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161199

@article{Yataco2025,
title = {Mobile Application Based on Clean Architecture for Sustainable Tourism Recommendation Using BERT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161199},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161199},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {11},
author = {Cristhian Paolo Atuncar Yataco and Marco Antonio Lopez Salinas and Jos´e Alfredo Herrera Quispe}
}