# Madrasati Muse Spark

- **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:** [Mohamed Abdallah](https://cerebralvalley.ai/u/Mohamed-Abdallah)
- **GitHub:** https://github.com/therealgamer2411/madrasati-muse-spark
- **Demo video:** https://youtube.com/shorts/RkmcmRJOAT0?si=CSjVuymhnllpNkZv
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5209

Madrasati Muse is a voice-first Egyptian Arabic tutor for primary-school learners. It helps a child ask questions naturally and receive a lesson shaped around their grade, teacher preferences, and textbook.

The learner’s PDF is processed on-device: the app extracts text, runs Arabic OCR on scanned pages, and builds a local page index. When a learner asks a question, the app retrieves a few relevant passages and sends those excerpts—not the original PDF—to Meta Muse Spark. Muse Spark leads the lesson with an explanation, a worked example, and a check-for-understanding question, then uses recent answers to choose the next teaching step. Muse Voice Transcribe streams the learner’s speech, shows partial transcription, and detects the end of a turn.

Google Gemini 3.8 Flash TTS generates the Egyptian Arabic spoken response. It is a separate speech service; Meta models provide live transcription and teaching.

Disclosure: Madrasati’s original product concept existed before the hackathon. Madrasati Muse is a separate implementation focused on the Meta models and voice-first lesson flow. The submission should identify the Muse-specific work accurately.

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- [Ascension](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5212)

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