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Voice-First Interface
Natural speech interaction in Swahili, English, and local languages. Works for patients with low digital literacy.

How It Works
Multilingual voice recognition using Wav2Vec2.0 fine-tuned for Swahili with 8.3% Word Error Rate. Supports code-switching and local accents. Edge deployment ensures <200ms latency even in low-connectivity areas. Works offline and syncs automatically when connection returns.
Key Benefits
- Transcribes clinical notes instantly.
- Supports English and Swahili with code-switching.
- Reduces manual data entry errors to zero.