Conjify: Anemia Screening via Conjunctival Imaging
Built the full AI pipeline for Conjify, a mobile-first web app for non-invasive anemia self-screening via smartphone camera. I designed and trained a dual-head EfficientNet-B0 that simultaneously classifies anemia presence and estimates hemoglobin levels quantitatively, trained on CP-AnemiC dataset (710 images) using multi-task learning with progressive unfreezing. Integrated Grad-CAM to extract spatial activation statistics for structured Llama 3.3 70B clinical interpretation in plain Indonesian. Model achieved 84% accuracy, AUC-ROC 0.902, and Hb regression MAE 1.515 g/dL. Deployed on Hugging Face Spaces via Gradio API.
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