Project Update: Multimodal ViT Framework for Diabetic Retinopathy Detection and Severity Grading
I'm excited to share an update on our project, Multimodal ViT Framework for DR Detection and Severity Grading, developed as part of the Multimodal AI Hackathon 2026!
What we're working on: Our project explores the use of Vision Transformers (ViT) and multimodal AI approaches for diabetic retinopathy (DR) detection and severity grading. The goal is to support the identification of DR and distinguish between its severity levels using AI-driven analysis.
My contribution: I've been involved in research, exploring the technical approach, developing the project, and contributing to the research paper and documentation.
This journey has been a valuable opportunity to explore how advanced AI architectures can be applied to real-world healthcare challenges.
We're continuing to refine our approach and explore ways to make the framework more useful and accessible.