Tesis Tecnologías de la Información

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    Aplicación móvil con tecnología Arcore para impulsar el turismo en la zona céntrica del cantón Salcedo
    (2025-07) Guanoluisa Calvache Kevin Esteban; Aldas Flores Clay Fernando; Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información
    The Salcedo canton, located in the Cotopaxi province, is known for its gastronomy, natural landscapes, and cultural traditions. However, this area faces limitations in its tourism competitiveness, mainly due to the low visibility of its attractions and the limited use of promotional technologies. To promote tourism through technology, this project proposes the development of a mobile application based on Augmented Reality (AR). The application allows tourists to interact with informative 3D models of points of interest, offering an immersive experience. Various technologies were used for the development: the user interface was built with Jetpack Compose, while the 3D models were designed in Blender, allowing for an attractive visual integration with real-world spaces through AR. As a result, an application was developed to highlight the main tourist sites in the central area of Salcedo through interactive 3D information and objects that enhance the visitor experience, promoting new ways of tourist exploration.
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    Sistema informático aplicando python para la gestión de productos con series de tiempo en la panadería y pastelería “Flor de Cebada"
    (2025-02) Freire Valencia Jean Carlo; Aldas Flores Clay Fernando; Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información
    The present project focuses on the development of a software system aimed at improving product management processes in the bakery and pastry shop "Flor de Cebada." Leveraging Python, the Flask framework for the backend, and React for the frontend, alongside the application of machine learning, the system integrates time series forecasting to enhance trend detection and demand prediction. The goal is to optimize sales operations, minimize product waste, and support data-driven decision-making in a small business environment. The system includes an inventory management mechanism, enabling the registration, updating, and tracking of products, including essential details such as quantities, expiration dates, and prices. Additionally, sales processes are streamlined through barcode scanning, automatic calculations, and totals. A key feature is the generation of reports required by the business. The predictive analysis implemented in the system development provides accurate demand forecasts, helping align production with market needs. The system also generates electronic receipts for transactions, improving operational efficiency and user experience. The project was developed using the Extreme Programming methodology, emphasizing iterative design, stakeholder collaboration, and adaptability to changing requirements. The system delivers tangible benefits for business operations, enabling the bakery to achieve greater accuracy in inventory planning, enhance customer satisfaction, and establish a foundation for sustainable growth. This initiative highlights the potential of technology-driven solutions to address real-world challenges faced by small and medium-sized enterprises