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Computer vision · Accessibility · 2025

LibrAI

CONIC-SEMESP
LibrAI sign-recognition interface
01Overview

A computer-vision initiative that recognizes Brazilian Sign Language gestures in real time to support deaf children through accessible, interactive literacy activities.

Process, decisions and evidence — without unnecessary decoration.

Context
Interaction logic, research and testing
Period
2025
Type
Computer vision · Accessibility
02

The challenge

Design an inclusive literacy experience where technical accuracy and children's understanding needed to work together.

03

The build

I worked on interaction logic, experience discussions, bibliographic research and user testing, connecting MediaPipe, OpenCV and TensorFlow to a learning interface.

04

What stands

Research published and presented at CONIC-SEMESP 2025, one of Brazil's largest undergraduate research conferences.

05 · STACK / METHODS
Computer VisionOpenCVMediaPipeTensorFlowPython
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