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JonasMayani/african-health-assistant-

Domaine:

natural language processinghealthcare

Type de record:

modelsoftware
Créateur:
Jon
HĂ´te:
# 🌍 Multilingual African Health Assistant **Zindi ITU Challenge — Multilingual Health Question Answering in Low-Resource African Languages** A production-grade multilingual health QA system serving sub-Saharan communities in **Akan (Twi) · Amharic · Luganda · Swahili · English**. --- ## Overview This system accepts a health question in any of the five supported African languages and generates a medically accurate, culturally appropriate answer **in the same language**. It is designed for deployment in low-bandwidth, resource-constrained environments (mobile, SMS, offline-capable). ### Supported Languages | Tag | Language | Region | |---|---|---| | `Aka_Gha` | Akan (Twi) | Ghana | | `Amh_Eth` | Amharic | Ethiopia | | `Lug_Uga` | Luganda | Uganda | | `Swa_Eas` | Swahili | East Africa | | `Eng` | English | (pivot / baseline) | ### Domain All content covers **Maternal, Sexual & Reproductive Health (MSRH)** — prenatal care, family planning, GBV support, postnatal care, and adolescent health. --- ## Repository Structure ``` african-health-assistant/ ├── data/ │ ├── raw/ # Train.csv, Val.csv, Test.csv (not tracked) │ ├── cleaned/ # train_clean.csv, val_clean.csv │ ├── augmented/ # final_train.csv │ └── external/ # external_sources_register.csv ├── notebooks/ │ └── 01_eda.py # Phase 1.1 EDA (run as notebook or script) ├── src/ │ ├── data/ │ │ ├── clean.py # Phase 1.2 — data cleaning │ │ ├── augment.py # Phase 2 — augmentation pipeline │ │ └── quality_gate.py # Phase 2.3 — quality gate filters │ ├── training/ │ │ ├── train.py # Phase 3 — fine-tuning │ │ ├── config.yaml # All hyperparameters & paths │ │ └── train.sh # One-command pipeline runner │ ├── evaluation/ │ │ ├── metrics.py # Phase 4 — ROUGE + LLM Judge + submission │ │ └── decode_search.py # Phase 4.3 — decoding h …