Healthcare systems today face a critical problem: symptom data is fragmented, unstructured, and difficult to analyze in real time. Patients describe their symptoms in natural language, hospitals must manually interpret urgency, and early outbreak signals often go unnoticed because data is scattered across systems.
Our project introduces an AI-powered clinical triage and early public health signal detection system that transforms unstructured symptom descriptions into structured clinical intelligence using the Gemini API.
The goal is not to diagnose diseases, but to assist healthcare professionals with:
Standardized urgency classification
Structured triage reporting
Population-level symptom pattern detection
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