Swahili-language AI chatbot for patient symptom triage and health information retrieval in coastal Kenya β Deploying African NLP for Healthcare Equity
# π₯ Afyalugha β Swahili AI for Patient Triage & Health Access
> **Deploying Swahili Language AI for Patient Triage and Health Information Access in Coastal Kenya**
**Afyalugha** (from Swahili: *afya* = health, *lugha* = language) deploys a Swahili-language AI chatbot for symptom triage and health information retrieval in coastal Kenya. The project addresses critical language barriers that prevent **60% of rural patients** from accessing accurate health information in English-only digital health tools.
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## π The Problem
Africa has over 2,000 languages, yet most AI systems are built on English corpora. Even Swahili β spoken by 200M+ people β lacks adequate NLP coverage for medical applications. In coastal Kenya:
- **90%+ of coastal Kenyans** use Swahili as their primary language
- **Almost all digital health tools** are English-only
- Medical AI chatbots trained on Western corpora **misdiagnose 30% more frequently** in African languages
- Current NLP models exhibit **44% lower translation accuracy** for Swahili medical text
- Less than **1% of public Kenya-available NLP corpora** contain African medical text
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## π― Project Objectives
| Objective | Target |
|-----------|--------|
| Medical NER accuracy | β₯85% (vs. 58% Masakani baseline) |
| Unique patients reached | 50,000 in Year 1 |
| Language barrier reduction | 40% reduction in self-reported barriers |
| Triage accuracy improvement | β₯5% vs. English-only tools |
| Open-source medical terms | 5,000+ terms under CC BY 4.0 |
| Health facility deployments | 10 clinics (Mombasa, Kilifi, Kwale) |
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## ποΈ System Architecture
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β USER INTERFACES β
β WhatsApp β SMS β Web App β Speech-to-Text β
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β SWAHILI NLP PIPELINE β¦