@abdullahCase Study
Sehat-AI
Deep learning chest X-ray screening system
An AI-assisted medical imaging workflow for TB and Pneumonia screening using CNN models, FastAPI, and mobile delivery.
PythonFastAPIDeep LearningReact NativeExpoCNN
01 / 04
Project Story
What this build covers.
Sehat-AI — Final Year Project (FYP)
Built a deep learning model for detecting TB and Pneumonia from chest X-rays, integrated with a FastAPI backend and React Native mobile frontend for real-time predictions. The project applies CNN architectures for medical image classification and focuses on practical AI-assisted screening workflows.
Stack
PythonFastAPIDeep LearningReact NativeExpoCNN
Links
Private client project. Public repository and live link are not available.
More Work
Other projects in the archive.
A broader mix of SaaS products, experiments, interfaces, and shipped builds from different stages of the portfolio.