Clarity
Built at Agentic Memory & Context Engineering Hackathon · Oct 11, 2025 · San Francisco, CA

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.