Machine Learning

Digital platform by CEDIS/UnB for planning, screening, extraction, and reporting of systematic literature reviews with traceability, collaboration, and reproducible outputs.

Artificial Intelligence (AI) is a branch of computer science that seeks to develop systems capable of mimicking and enhancing human abilities such as reasoning, learning, and …

Ongoing CEDIS project focused on the continuous research, evolution, and validation of methods, workflows, and capabilities for systematic reviews, with Evidentia Review as its …

An AI API for academic performance prediction in gamified environments, complementing the EduTrack platform, with academic support from CEDIS.

A research project in partnership with IBICT and funded by FAP-DF.

The app and site Contextus redefines scientific analysis with NLP and ML for direct interaction with academic knowledge.

The Undergraduate Analysis Model (MAGRA) enables the prediction of dropout rates in face-to-face undergraduate courses.

The Academic Management Support System - SAGA is a tool developed to assist academic managers in monitoring indicators for undergraduate courses.

Machine learning application for the non-invasive prediction of euploidy in human embryos based on morphokinetic data. Computer program registration granted by INPI in 2026.

Master in Applied Computing, University of Brasília

Undergraduate in Software Engineering at the University of Brasília; PIBIC undergraduate research advisee of Prof. Sergio Freitas in the Canal Ciência Project.

Undergraduate in Software Engineering, University of Brasília