Project Summary

The Influenza Early Warning System is a graduation project that analyzes pharmacy data to identify influenza outbreaks around 8 days earlier than official reports.

The goal is to provide early signals so stakeholders can react faster and plan more effectively.

🛠 Tech Stack

• Python
• LSTM (Deep Learning)
• FastAPI
• Mobile (MVP)

📈 Results

• 86% accuracy and 0.79 F1-score on test data
• A scalable backend design targeting ~200ms response times

Note

This post focuses on the project itself; personal CV/contact details are intentionally omitted.