This graduation project explores accessible mobility through a brain-computer interface. An AI model analyzes EEG signals and converts recognized mental commands into reliable wheelchair movement.
A wheelchair prototype that uses an AI model to analyze EEG brain signals and translate the user’s mental commands into directional control.
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Inteligência Artificial
CnnLungDisease Detection
Adapted a pretrained ResNet18 for chest X-ray classification across 7 lung diseases by converting the model to grayscale input and fine-tuning end-to-end on Kaggle data.
PyTorchResNet18Transfer LearningMedical Imaging
Inteligência Artificial
CnnMelanoma Detection
Custom CNN built from scratch to classify skin lesions as melanoma (0/1), validated checkpoint-by-checkpoint and designed for mobile-ready deployment.
PyTorchCNNBinary ClassificationConfusion Matrix
Inteligência Artificial
MachineLearning Algorithm Comperasion with R
Cleaned and combined US economic indicators (1960–2020) and compared Linear Regression vs Random Forest for inflation prediction using MSE on a time-based split.
RData CleaningRegressionRandom Forest
Inteligência Artificial
RD-05
An original quadruped robot platform I designed from mechanics to software and led technically, reaching the top 15 in the Teknofest Disaster category.
RoboticsEmbedded SystemsAI IntegrationRemote Control