Kazi: Kabla ya Daktari — AI-powered triage intake translator for Kenyan outpatient clinics. Anthropic hackathon 2026.
# Wingu la Dalili — AI-assisted Symptom Cloud
> *"Elezea dalili zako kabla ya kuona muuguzi"*
> Describe your symptoms before seeing the nurse.
**Wingu la Dalili** is an AI-assisted intake translator for Kenyan outpatient clinics. Patients describe their symptoms in Swahili, Sheng, or English through a private, adaptive conversation — and walk away with a structured nurse handoff card that shows both the clinical restatement and their own exact words, side by side.
Built for the **Anthropic Hackathon 2026**.
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## The Problem
A patient arrives at a public clinic in Nairobi. They have been waiting two hours. When they finally reach the nurse, they have 90 seconds to explain what is wrong. They speak Sheng or Swahili; the intake form is in English. They are anxious, possibly in pain, and do not know clinical terms.
The nurse paraphrases what they hear. By the time the patient sees the doctor, the record says "abdominal pain" — not *"tumbo inauma sana tangu jana usiku"* ("my stomach has been hurting badly since last night"). The patient's own words, which carry meaning the clinical restatement does not, are gone.
**Wingu la Dalili** sits in that gap.
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## What It Does
1. **Consent gate** — full transparency before any input: what the AI does, what it will never do, that Claude by Anthropic is involved, and how data is handled
2. **Adaptive conversation** — Claude Haiku asks one follow-up question at a time in the patient's own language. It extracts structured symptom data without replacing the patient's words
3. **Patient review** — the patient sees everything collected and can remove any item before it reaches the nurse
4. **Nurse handoff card** — structured summary showing clinical restatement + patient's verbatim words side by side. Downloadable as PDF
5. **Nearby clinic finder** — OpenStreetMap-powered search for health facilities within 5 km, no API key required
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## Safety Features
- **Danger-sign interceptor** — runs client-side, offline, on e …