A production-ready, high-fidelity reproduction of Apple's detailed sleep analysis chart, built with pure SwiftUI.
-
Updated
Oct 21, 2025 - Swift
A production-ready, high-fidelity reproduction of Apple's detailed sleep analysis chart, built with pure SwiftUI.
MCP server enabling LLMs to interact with Garmin Connect - activities, health metrics, sleep data, and training analysis
An overview of CRD-related projects that are currently being worked on
AI-powered WHOOP web app rebuild with React - featuring intelligent coaching, personalized health insights, and enhanced data visualization for fitness optimization
A comprehensive Python web dashboard for visualizing and analyzing Ultrahuman ring data locally. Features sleep tracking, heart rate monitoring, CSV exports, and interactive health analytics.
Self-hosted Telegram health coach. Connects Garmin data with Gemini AI for pattern detection, accountability, and personalized insights.
Biometric productivity system integrating Oura Ring, neural audio, and smart home / 生体データ×神経音響×スマートホーム統合システム
SleepTracker is a lightweight Telegram bot that tracks sleep and wake times, visualizes sleep duration, and lays the foundation for habit building and future AI-based sleep insights.
MCP server for Oura Ring data with smart analysis tools
A command-line sleep tracking tool with debt calculation and science-based recovery recommendations
Sleep tracking Flutter app with alarm, weather integration, and sleep analytics. Monitor sleep patterns, set reliable alarms, and track factors affecting sleep quality with offline-first SQLite storage.
Analyze and predict student sleep behavior and academic success using Machine Learning. Features real-time lifestyle analysis and interactive cluster visualizations.
Smart sleep monitoring wristband using HRV analysis - Academic project at UDESC Brazil (M1 Embedded Systems)
WearOS app for gathering data for sleepwalking project
A React Native Expo app that automatically tracks your sleep patterns based on phone usage.
Your all-in-one health and fitness companion. Built with the MEVN stack.
MEng Fourth Year Project
Add a description, image, and links to the sleep-tracking topic page so that developers can more easily learn about it.
To associate your repository with the sleep-tracking topic, visit your repo's landing page and select "manage topics."