CureBytes is a cloud-based AI driven model to allow teachers to provide medical students with comprehensive feedback for their medical notes during OSCEs, which are Objective Structured Clinical Examinations - this shortens the time it takes teachers to write personal, comprehensive feedback, giving them more time to focus on teaching future physicians.
We have 2 LLMs (Large Language Models) fine tuned by Google's GeminiAI, are accessible on the Cloud (utilized AWS to deploy our product), and utilized HTML/CSS/Javascript (React & NodeJS) for web development.
I was involved with full-stack development, medical research, and presenting our final work. A core challenge was managing the token limit of the GeminiAI model, so we used a LinkedList approach to break down large datasets into smaller, connected pieces—preserving context and coherence across data segments.
