CareBridge AI — a hackathon prototype for patient care monitoring. What it does Live mode: real Arduino hardware sends joystick pain levels (0–10), help-button presses, and DHT11 room temperature/humidity through a Python bridge into the app's database. The dashboard updates automatically as readings arrive. Demo mode: five simulated patients with fictional profiles, plus CSV import for testing — kept completely separate from hardware data. Multi-patient view: patients ranked by a priority score (pain + time since last nurse check-in), a needs-assistance queue, per-patient charts, check-in history, and nurse notes. AI panel: summarizes trends and answers questions about a patient's readings, with bold keywords and bullet summaries. Pitch page at /pitch with your project slides. Who's in it Six fictional patients: Flourish, Aariana, Kelly, Mr. Geese, Yimeng, and Morgan — with ages, genders, preferences, and nurse notes. Where things stand Sign-in is removed, so all dashboards open directly. Arduino pain 10/10 shows on both views. Two items are still waiting on you: a fresh help-button press to confirm acknowledgements, and a new reading from your Python sender to confirm live syncing end-to-en
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