Unofficial CLI and MCP for the Suunto cloud API. Read and write your own fitness data from the terminal or from AI agents. Not affiliated with or endorsed by Suunto Oy. For personal and experimental use only — may violate Suunto's terms of service; use at your own risk.
DIY Smart Watch with ATMEGA32U4 , ST7789 SPI display and RV3028-C7 Extreme Low Power RTC Module
An open source watch OS for ESP32-S3 based watches (Made in India 🇮🇳)
A comprehensive TypeScript library for downloading, parsing, and analyzing data from smartwatches and fitness devices.
The Oxinode is a Secure Remote Control System for Oxygen and Pulse levels which has been developed by integrating an ESP32-38PINOUT, a MAX30102, a 3D Printed Case, and the Oxinode version of the iot2tangle stack.
An ESP32 based smart watch (WIP)
Progamtically get the standardized specs of over 61,000 consumer electronics devices, including the latest smartphones, tablets, smartwatches, laptops, and more.
Apple Watch-style launcher for Hello Watch 5+ and other full-Android smartwatches. Honeycomb grid, Smart Stack cards, ClockSkin + WatchMaker faces. Beta.
This PHP SDK provides access to the standardized technical specifications of over 19,000 consumer electronics devices, including the latest smartphones, tablets, smartwatches, laptops, and more.
PhD thesis' data and code for interactive exploration and reproducibility
Flutter plugin for UTE smart band (GloryFit) / smart watch BLE connectivity on Android and iOS.
📶｜Complete Bluetooth Transfer Center
Dashboard that takes in health data from a wearable technology or app to create a health dashboard. Technologies used: React, JSX, raw JavaScript, HTML, and SCSS.
Watch website was created by Html5, Css3, and JS, it's a multi-pages website, it's e-commerce website you can add product to cart or remove it, you can add quantity, there's also checkhout page, where you pay.
🏃♂️ Download, parse, and analyze data from smartwatches and fitness devices with this TypeScript library supporting Garmin, Polar, Suunto, and more.
AI-Based Smartwatch Recommendation System An AI/ML-based recommendation system developed as a group project at IILM University, Greater Noida, under the Cisco Networking Academy AI program. Project Overview: - Designed an intelligent recommendation engine that suggests smartwatches to users based on their preferences, budget, health needs
Functions - cloud endpoints to call to finalize an order
Invoice generator for periodic invoicing of clients via Stripe
Build smartwatch apps with React and TypeScript - for Wear OS and Apple Watch.
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