Post Op Care Bot
Team consisting of SJSU grad students (CS/MS, Data Analytics) with backend, full‑stack, NLP/ML, cloud and data‑pipeline skills; Python, Flask, TensorFlow, BERT, SQL, AWS.
Project Description
A safety-aware chatbot that supports patients in the first days after hospital discharge. Doctors add a patient’s record; the system generates a concise patient summary and illness index, stores everything in Redis, and then answers the patient’s questions with retrieval-augmented generation (RAG). It detects red flags (e.g., high fever + wound redness) using rule-based checks plus an LLM triage layer, and gives clear, plain-language guidance for next steps.
Prior Work
We started the project from scratch during the hackathon.