PnuemoCheck AI Portfolio

Diagnostic Simulation Showcase for Clinical Interview

Select Sample Case
Sample radiograph with pneumonia
Case #882 Clinical Observation Required
Sample normal radiograph
Case #401 Regular Screen
Diagnostic Vision
X-ray scan Grad-CAM explainability heatmap
Prediction
PNEUMONIA
Confidence
94.8%
Interviewer Note: This is a static portfolio demonstration. The real-time application utilizes a PyTorch CNN backend, BentoML 1.4 for model orchestration, and a Celery/Redis pipeline for scalable explainable AI (Grad-CAM) generation. The results shown here are pre-baked to demonstrate the diagnostic interface and explainability heatmaps.