TABIB — AI Clinical Triage for Rural India

TABIB solves the last-mile clinical decision gap in rural India. 900,000 ASHA workers serve 600 million rural Indians. When a patient collapses with dengue, pre-eclampsia, or sepsis — the ASHA worker has no real-time guidance. Wrong call = death. HOW IT WORKS: 1. ASHA worker sends symptoms via WhatsApp (no app needed) 2. TIA agent structures the raw input into clinical format 3. TDA agent generates differential diagnosis + danger signs 4. TTA agent makes final escalation decision 5. Decision delivered back to WhatsApp in 30 seconds OUTPUTS: MONITOR AT HOME / REFER TODAY / REFER NOW EMERGENCY Language: Hindi + English Infrastructure needed: 2G signal + WhatsApp VALIDATED CASES: ✅ Dengue Day 3 → REFER NOW (correct) ✅ Pre-eclampsia 8 months → REFER NOW EMERGENCY (correct) ✅ Pregnancy UTI → REFER TODAY (correct) ✅ Viral URTI child → MONITOR AT HOME (correct) CLINICAL GROUNDING: - India NHM/IMNCI guidelines - Clinical co-advisor: Professor of Microbiology, Government Medical College - CDSCO regulatory pathway identified WHY BAND: Band's multi-agent coordination mirrors real clinical teams. TIA (triage nurse) → TDA (doctor) → TTA (senior doctor). Each agent has one job. Sequential reasoning. Full audit trail. A single LLM prompt cannot replicate this accountability structure.