Python · Pinecone · Aug–Oct 2025
MedDo
PineconeRAGPython
CORE FEATURES
- Real-time diagnostic RAG answering medical inquiries.
- Adaptive difficulty scaling based on history.
- Vector databases for case search.
PROJECT OVERVIEW.
A LeetCode-style interactive preparation platform for USMLE (United States Medical Licensing Examination) exams. Powered by Pinecone vector databases and RAG, it serves over 1,000+ interactive clinical cases, adapting dynamically to user weak points and reducing exam prep time by approximately 35%.
DEVELOPMENT & SYSTEM ARCHITECTURE.
Built from the ground up prioritizing speed, reliability, and modular abstractions. Employs modern pipelines to handle telemetry data, neural state machines, and real-time inputs, verifying constraints at build-time and ensuring minimal runtime overhead.