2020 Yearbook - Universidad ORT Uruguay

67 STUDENT PROJECTS WITH EXTERNAL ORGANIZATIONS 2020 Management System for an Aesthetic Medicine Clinic Authors: Pablo Muse, Francisco Quincke, and Juan D’Oliveira Organization: Dr. Rosanna Roca’s Aesthetic Medicine Clinic The objective of this project was to develop an application that allows for the recording of consultations conducted with patients undergoing medical treatments at an aesthetic medicine clinic, provides automated advice to potential clients, and automatically sends appointment reminders via email. The client, seeking to modernize their workflow through the use of IT systems, emphasized the importance of ease of use and the ability to access the system from multiple devices. The system was developed using a hybrid methodology; a traditional approach was used during the requirements and architecture phases, while an agile methodology was employed during the development and testing phases. The final result, which complies with the legal requirements for a system that manages medical data, consisted of a web application with a backend hosted on Amazon Web Services via the Elastic Beanstalk service, which provides an API (Application Programming Interface), and a frontend website accessible from mobile devices. The website integrates a chatbot tool so that potential clients can ask questions about the clinic and its treatments. Degree: Bachelor’s Degree in Systems Advisor: Dr. Helena Garbarino SkyGuard: Remote and Automated Livestock Management Authors: Dan Blanco, Gastón Donadío, María Victoria Rocha, Federico Rodríguez Giuliani, and Emiliano Rodríguez Naguil Organization: TodoSoft Uruguay The objective of this project was to develop a system for livestock monitoring using drones and RFID (Radio Frequency Identification) technology, which helps reduce the loss of animals through automated monitoring. Once the location and boundaries of the field are entered, the SkyGuard system generates the optimal route for drones to follow; these drones automatically perform the patrol at the set time and, in the event of any failure, are programmed to return to base and attempt the patrol again later. The system sends real-time notifications to users whenever a problem is detected, for example, when an animal enters a dangerous area or is found outside the field’s perimeter. It also allows users to generate reports on drone patrols, heat maps showing areas visited by livestock, animals identified, and missing animals. It consists of a web application and a mobile app available for Android and iOS, which allows users to manage the system, view and upload information, generate reports, and receive alerts. Both applications use a REST API developed in .NET Core using a MySQL database. In turn, the solution includes a software component within the drone that is responsible for providing the vehicle with the necessary intelligence to perform the flights. The team used an adaptation of the Scrum agile methodology for both project management and product development. Degree Program: Systems Engineering Advisor: Mariel Feder, Eng.