# art-sparrow

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Worship Theophilous](https://cerebralvalley.ai/u/art-sparrow)
- **GitHub:** https://github.com/Wauguzi/tabibu
- **Demo video:** https://drive.google.com/file/d/1z3xbp432nzI5uiajl3iXPqAB5BAgHat7/view?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4085

Tabibu is the Swahili word for doctor. It is a Flutter app, on Firebase, that carries a person from booking to result in Nairobi, in English and Kiswahili. A patient books a doctor; the doctor orders a test and sends it to a pathologist; the pathologist reads a slide and signs a report; the doctor discusses it and approves a plain-language explanation; the patient reads it. When a confirmed result is a notifiable disease, it becomes an anonymous count, and an authorised clinician approves a bilingual alert before any patient sees it.

The problem: Kenya has about one pathologist for more than 725,000 people, and public hospitals that could do histology reported a median wait of about 14 days for a result (Brand et al., Journal of Global Oncology). Reading the slide is one stretch of that wait; the order, the hand-off, the report and its explanation are the rest, and those are what software can shorten.

The rule that shapes every screen: AI prepares, a qualified person decides. The AI's first read of a slide is a labelled prompt for the
pathologist, scored by them before they write a word, with its confidence capped at Low; a patient reads an explanation only after their doctor approves it; an alert is delivered only after an approver releases it. I measured it and publish the number: on 200 held-out tiles the pre-read was right 72% of the time at best and still missed about half of the tumour tiles, so it is never presented as a diagnosis.

## More from Meta Global AI Developer Hackathon

- [Utkarsh Shukla](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4082)
- [Walkable](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4083)
- [Liam O'Neill](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4084)
- [SebastianMejia](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4086)
- [X-Arc](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4087)
- [Josue Arcos](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4088)

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