@abdullahCase Study
Sehat-AI
Deep learning chest X-ray screening system
Deep learning chest X-ray screening pipeline for TB and Pneumonia using DenseNet121 transfer learning, FastAPI backend, and React Native mobile app.
PythonFastAPIDenseNet121React NativeExpoCNN
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Project Story
What this build covers.
Sehat-AI — Deep Learning Medical Screening
Medical AI system created as a flagship project, combining deep learning with real-time mobile API delivery.
Key Highlights:
- Trained a deep learning image classification pipeline with DenseNet121 transfer learning for TB and Pneumonia detection.
- Built a high-performance FastAPI server serving real-time prediction endpoints.
- Developed a React Native mobile application for clinicians and patients to upload X-rays and instantly view diagnostic confidence scores.
Stack
PythonFastAPIDenseNet121React 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.