MedGraph is an innovative solution developed during the "Building the Next-Gen Agentic App with GraphRAG & NVIDIA cuGraph" Hackathon. This project leverages PubMed data to deliver faster and deeper insights, dynamically connecting research findings to empower researchers and clinicians in uncovering impactful discoveries.
- Medical Records Management: Store, update, and retrieve medical data.
- AI-Powered Medical LLM Agent: Built on OpenAI GPT-4o, this state-of-the-art language model specializes in processing medical data, providing accurate, context-aware insights for healthcare professionals and patients.
- Database: ArangoDB, MySQL
- Backend: PHP
- Frontend: HTML, CSS, JavaScript
- Agent: Python
- Containerization: Docker
- Cloud Infrastructure: Google Cloud Platform
Check out our YouTube introduction video to learn more about the project and its features! 🎥
We thank the following contributors for their valuable efforts on this project:
- mikoesnim0: Team Leader, Main Developer.
- mightyking-ryu: Backend Developer & DevOps
- anantankita: Frontend Developer.
- sionhyeop: Designer.