CarePulse is an autonomous post-discharge and chronic disease monitoring platform that bridges the critical care gap between hospital discharge and recovery at home. Preventable readmissions often occur because patients fail to identify worsening symptoms early, while clinical teams lack the time to manually check in on every patient. CarePulse solves this by uniting autonomous conversational voice agents with precision clinical AI. Key Features: Autonomous Voice Check-Ins: Powered by CALL-E, CarePulse dials patients directly on their phones. It conducts warm, conversational, and personalized interviews tailored to each patient's surgery, diagnosis, and recovery timeline—not rigid scripts. AMD-Powered ODPARA Triage: Call transcripts are analyzed by Gemma 4 31B-IT hosted on the AMD Radeon Cloud Token Factory. Gemma extracts structured clinical signals using the gold-standard ODPARA framework (Onset, Duration, Progression, Aggravating, Relieving, and Associated symptoms) with defensive safety thresholds. Real-Time Emergency Alerts: If severe pain (>=7/10), high fever (>=101°F), or red-flag symptoms like shortness of breath are reported, CarePulse streams an instant emergency alert over live WebSockets directly to the assigned doctor's dashboard. Discharge Care Planning: Clinicians and patients manage digital prescriptions, dietary guidelines, medical reports, and scheduled appointments in a zero-trust, role-isolated portal. Tech Stack: Clinical AI: Gemma 4 31B-IT on AMD Radeon Cloud Token Factory Voice Engine: CALL-E outbound voice API Backend: Django REST Framework + Channels (Daphne WebSockets) + Celery Frontend: React + Vite + Tailwind CSS + Framer Motion Database: Supabase (PostgreSQL) CarePulse catches complications early, reduces hospital readmissions, and ensures continuous clinical safety.
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