# Clarity

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Casey Nguyen](https://cerebralvalley.ai/u/caseyhn), [Abhinav Agarwal](https://cerebralvalley.ai/u/hereandabhi)
- **GitHub:** https://github.com/abhinav30219/clarity
- **Demo video:** https://www.youtube.com/watch?v=yzXVV4KGkWo
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/40

Clarity is a real-time health platform that ingests live PPG/IMU from the Clarity wearable over BLE to deliver sub-second, clinical-grade monitoring + AI insights in one dashboard. Sliding-window signal processing and feature extraction power continuous tracking of HR, SpO2, HRV, BP, temperature, and activity. Ensemble BGM models (MaxM Stelo; 11.6% MARD) plus Glucose360/GlucoStats compute GMI, time-in-range, MAGE, and pattern stats. Beyond glucose, PPG-based models forecast a male hormone panel (testosterone, progesterone, LH, FSH, DHEA-S) using MCPhases-informed features. A GPT-4o layer provides a voice assistant with real-time TTS/ASR, personalized markdown insights, and EHR ingestion (PDF/XML with LLM-validated cleaning). The stack pairs a FastAPI/WebSocket backend, Chart.js visualizations, and MongoDB with cross-platform apps (iOS/Android/Web via Capacitor) and optional on-device WebGPU inference for privacy-first analytics, alerts, and unified cardiometabolic management.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/40. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt