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X-ray Pneumonia Detection

Flutter mobile app for chest X-ray pneumonia detection using deep learning. Supports VGG16, EfficientNet, InceptionV3, and ResNet50 with on-device TFLite inference.

Sole engineer — model training + mobile app

best accuracy
93.7%
best F1 score
95.4%
CNN architectures
4
TFLite inference
on-device

Model accuracy and F1 are results on the held-out test set.

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The challenge

Bringing chest X-ray pneumonia screening to low-resource settings means running deep-learning inference on-device, with no server round-trip or connectivity requirement.

What I built

ResNet50 reached 93.70% accuracy and 95.42% F1 on the held-out test set, running entirely on-device through TFLite — no image ever leaves the phone.

Have something in mind?

I'm open to backend and platform roles, contract or permanent. Based in the EU, available on-site in Belgium and the Netherlands or remotely worldwide.

Download CV