🩸 Thalassemia Edge Deep Learning Model

Developing a web app to help hematologists acquire data directly from a microscope camera, written in Python Flask. Conducting a comprehensive literature review to find the best method to segment red blood cells (RBCs) individually, and developing an Edge AI system for detecting Thalassemia from peripheral blood smear.

See the development log for the day-by-day build notes on the image acquisition app — camera driver debugging, the Linux/Jetson port, and ongoing hardware issues.