My platform leverages AI to assist in managing Immune Thrombocytopenia (ITP), an autoimmune condition that
reduces platelet levels, increasing the risk of bleeding and causing characteristic rashes with purpura and petechiae.
Using your webcam, my innovative AI model analyzes the severity and features of these rashes to predict platelet
levels—a groundbreaking approach in ITP care.
I trained the model using images from medical case studies where platelet levels were documented, allowing it to
learn associations between visual rash patterns and platelet count. Since no standardized criteria currently link rash
severity to platelet levels, this project is the first of its kind to address that gap using AI.
This solution offers a fast, non-invasive, and accessible way to monitor platelet trends, enhancing the potential for
personalized ITP management. Explore how this technology bridges clinical signs and quantitative data for better
care outcomes.
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