GuaIA

Context

Electoral disinformation doesn't come in a single format: it spreads as text, images, video and audio. The Tribunal Regional Eleitoral de Goiás (TRE-GO), together with UFG, needed a system able to analyze all of them, and to do it fast, ahead of Brazil's 2026 elections.

My role

Software engineer and co-architect of the project. I shared the architectural decisions, designed and implemented the Python and NestJS services, integrated multiple databases and coordinated across the project's different technical fronts.

What I built

• A multimodal AI system that analyzes text, images, video and audio
• Python and NestJS services working together as one product
• Integration across multiple databases
• A pipeline fast enough to return an analysis in under 4 seconds

Outcome

• 1st place at the CNJ Innovation Prize in 2025
• Detection of electoral disinformation across four content types in under 4 seconds
• The system has since been adopted