The system is a weather-station data platform and monitoring system. The system collects data from Weather Underground (WU), turns it into usable information, and alerts station owners and administrators when a station needs attention. All data is shown on the website in a easy, user-friendly approach. This includes dashboards, graphing, analysis, scientific tests, and admin controls (accessed through JWT-based auth). The system is coded mostly in Python and there are three main systems: The weather and status scrapers, backend, and frontend website.
Welcome to CroutonOS (tooootally correct pronunciation)! Allows the user to read a little about me and contact me through the contact app. Contains opening, closing, dragging, window shifting, and more!
An open‑source, year‑round system that uses a suite of machine‑learning and mathematical models, plus a custom data‑collecting buoy, to predict hazardous onshore winds and compare them against National Weather Service forecasts and established sea‑breeze formulas
A 3x3 Macropad that has a rotary encoder and a OLED Screen with LED Backlighting. The rotary encoder will switch the layers on KMK. The LEDs will light up according to the layer as well as all change color. The OLED screen (up top) will display the current layer, an image, and the functions on the layer. On each layer the 4 different keys will do different functions.
Predicts Dangerous Onshore Wind Speeds using a Long-Short Term Memory Neural Network.