From data collection to dynamic dashboards, now it’s time to predict! This post explores integrating OpenWeatherMap’s 5-day forecast and building our own 1-day AI prediction model using historical data, all visualized in our interactive frontend.
After building the data collector, it’s time to visualize it! This post guides you through creating an interactive weather dashboard using GitHub Pages or Netlify, JavaScript, PapaParse.js, and Chart.js. Bring your data to life!
We kick off our weather project by building the engine: a Python script that talks to an API, saves historical data, and runs daily thanks to GitHub Actions. I’ll share the tricks and challenges!
While helping my son study science in English, I realized we needed more than just covering the page with a hand. That’s how my own flashcards app was born, created with AI. I’ll share the story, introduce the tool, its magical content-generating feature, and invite you to use it.
Tired of dusting off long-forgotten knowledge or relying on various generic online converters, I decided to create my own with the help of Gemini’s AI. I’ll walk you through the process and explain the science behind each conversion, from energy to radio frequency.
Behind every project are key decisions. I explore why I chose the Jamstack path with Hugo for Datalaria, prioritizing learning and performance over the traditional WordPress route.