About this project
Description from the program archive
This project aims to build an intelligent chatbot and web interface that allows researchers to query and explore models from the VCell BioModel Database using natural language. Users will be able to search by geometry, solver, or biological context, access both public and private models, generate visual diagrams, and receive contextual explanations. The system will use LLMs, a Retrieval-Augmented Generation (RAG) pipeline, and VCell APIs to support model interpretation and simulation. Deliverables include a modular backend of specialized agents (querying, knowledge, visualization), a responsive frontend (Streamlit or React), and full documentation for deployment and reuse.