Browsing by Author "JANDELLI, Arthur"

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IOT Data Streamer: UNIFEOB
(Fundação de Ensino Octávio Bastos, 2023-11-30) JANDELLI, Arthur; OLIVEIRA, Klinsmann Stanguini de; AMARO, Lanna Gabriela Greghi; GONÇALVES, Marcos Henrique Cunha; VENTURINI NETO, Victor; MARCONDES, Renata Elizabeth de Alencar; ANDRADE, Nivaldo; ANDRADE, Nivaldo; ALMEIDA, Marcelo Ciacco de; VALLIM, Max Streicher; SANTOS, Mariângela Martimbianco
The Integrated Project (PI) focuses on the implementation of a desktop application, using Javascript and Electron JS technologies, designed to manage the data collected associated with SmartEye. The application aims to facilitate the manipulation and analysis of data from IoT devices, offering advanced features for import, storage and consultation.
Protótipo de Baixo Custo e Funcional de IOT - Unifeob
(Instituto Brasileiro de Informação em Ciência e Tecnologia, 2023-06-23) JANDELLI, Arthur; OLIVEIRA, Klinsmann Stanguini de; AMARO, Lanna Gabriela Greghi; TACONI, Matheus Gimenes; VENTURINI NETO, Victor; ZUIN, Vitor Guilherme Dantas; SANTOS, Mariângela Martimbianco; ANDRADE, Nivaldo de; TELLES, Sidney Gitcoff; OLIVEIRA, Rodrigo Marudi de
The IOT (Internet Of Things) project, SmartEye, developed by Grupo 8 de computer science and systems analysis and development, class B, is purpose of increasing the safety of UNIFEOB classrooms. Using facial and digital recognition technologies, SmartEye is able to accurately control who enters and leaves the rooms, preventing call fraud. That technology provides greater control and security for faculty and students at institution. It stands out that SmartEye is the only device on the market that combines facial and digital recognition, which makes it even more secure than other devices biometrics. To access the rooms, it is necessary to carry out two verifications, which increases considerably the safety of the process.
SISTEMA DE GESTÃO E INTELIGÊNCIA DE NEGÓCIOS PARA ORGANIZAÇÕES SOCIAIS: UNIFEOB
(Centro Universitário de Ensino Octávio Bastos, 2025-02-10) ALMEIDA, Marcelo Ciacco; ANDRADE, Nivaldo de; VALLIM, Max Streicher; OLIVEIRA, Rodrigo Marudi de; SANTOS, Mariângela Martimbianco; JANDELLI, Arthur; STANGUINI, Klinsmann
This Integrated Project (IP) is developed within the scope of the Center's course Octávio Bastos Teaching Foundation (UNIFEOB) and its main objective is the creation of an intelligent system for generating personalized lesson plans for teachers, in line with the institution's academic guidelines. The system will use intelligence artificial to integrate general, specific and technical skills defined by the university, also considering the levels of Bloom's Taxonomy for a lesson plan according with the informed dates, ensuring a structured and efficient pedagogical approach. This project was designed with the purpose of innovating and optimizing academic management, promoting technological solutions that support the teaching-learning process of more effective and personalized way. Through this initiative, teachers will be able to access detailed lesson plans, adapted to curricular and pedagogical demands, ensuring the quality of teaching and the fulfillment of educational goals. The application uses modern technologies, such as Next.js in its full architecture stack, integrating front-end and back-end into a robust and scalable platform. The bank of data is implemented in Neon, a PostgreSQL solution in the cloud, while the application is hosted on an Amazon AWS EC2 instance with Ubuntu operating system. To facilitate access, the system uses the personalized domain “unifebot.tech”, registered with Hostgator.With this solution, the aim is not only to develop practical skills in the use of cloud computing technologies, but also provide an innovative tool that adds value to the academic institution. This project reinforces our commitment to practical application of knowledge and the solution of real problems, contributing to the advancement technology in the educational environment. Furthermore, the execution of this PI emphasizes important competencies such as commitment, teamwork and self-development. During development, all team members are actively involved in research, implementation and validation of the system, ensuring that the final product meets the technical and educational criteria required. Ultimately, this project seeks not only to offer a functional solution, but also open new possibilities for applying artificial intelligence in the educational context, promoting innovation and efficiency in higher education.