This project is a hospital management system developed as part of Real Python tutorial about LLM and RAG. It aims to offer a better visibility of data about hospitals, for patients and employees of the hospitals. The main difference with the tutorial is that I adapted the code and worked with Gemini-1.5-pro as the LLM, and deployed this app with google cloud run (for FastAPI) and Streamlit Cloud
- Ask about reviews of the hospital (example : What did the patients say about food in the hospitals?)
- Ask about information about doctors, patients, hospitals (number of room, number of visits in hospital...)
- Get the waiting time at a defined hospital
- Get the most available hospital (get the minimum waiting time at the hospital)
You can go to this Streamlit website to chat with the chatbot.
Datasets come from the tutorial and are generated. You can find the data used at data/ repository and find an exploratory notebook at notebooks/ repository