I built a real-time Global Discomfort Index updated every 4 hours

Yasu — Sat, 12 Sep 2026 02:28:08 +0000

I created an open-source tool that visualizes the Global Discomfort Index (DI)
using real-time temperature and humidity data. The system updates automatically
every four hours and generates multilingual weather reports in Japanese, English,
Chinese, Korean, and Russian.

What learners can do with this tool

Analyze real-world temperature and humidity data
Practice data literacy and pattern recognition
Visualize trends in heat stress and environmental conditions
Explore how climate change affects daily life
Work with a real dataset updated continuously

Why I built this

I wanted to create a resource that helps students and educators explore weather,
climate, and data visualization. By examining DI values over time, learners can
investigate how rising temperatures and changing humidity levels relate to global
warming and human comfort.

Technology used

OpenWeatherMap API
SQL-based data processing
GitHub Pages automation
Multilingual static site generation
MIT License (fully open-source)

Live site

https://yahikoyama.github.io/weather2/

Source code

https://github.com/yahikoyama/weather2

All source code and data-processing scripts are released under the MIT License,
allowing educators and learners to freely use, modify, and redistribute the material.

Building a Multi‑Language Weather Report System Using PowerShell, GitHub Pages, and OpenWeatherMap API

Yasu — Sat, 18 Jul 2026 14:38:56 +0000

Introduction
I built a fully automated weather reporting system called weather2, which updates every 4 hours and publishes multi‑language weather reports using GitHub Pages.
This project combines PowerShell, SQL Server, Python, and the OpenWeatherMap API to generate real‑time discomfort index (DI) data.

System Architecture
Windows 11 + Task Scheduler for automation

PowerShell 5.1 for data processing and HTML generation

SQL Server Express 2022 for storing weather logs

Python + pyodbc for database access

GitHub API for automatic publishing

GitHub Pages for hosting the reports

Automation Workflow
Fetch weather data from OpenWeatherMap API

Calculate discomfort index (DI)

Generate HTML reports

Translate reports into 5 languages using offline dictionaries

Upload HTML files to GitHub via REST API

GitHub Pages publishes the updated reports automatically

Multi‑Language Support
The system generates weather reports in:

🇯🇵 Japanese

🇺🇸 English

🇷🇺 Russian

🇨🇳 Chinese (Simplified)

🇰🇷 Korean

Each language is translated using offline JSON dictionaries such as:
dictionary_en.json
dictionary_ru.json
dictionary_zh.json
dictionary_ko.json

Live Demo
Here are the live weather reports:

🇯🇵 Japanese
https://yahikoyama.github.io/weather2/weather_report_now.html

🇺🇸 English
https://yahikoyama.github.io/weather2/weather_report_now_en.html

🇷🇺 Russian
https://yahikoyama.github.io/weather2/weather_report_now_ru.html (yahikoyama.github.io in Bing)

🇨🇳 Chinese
https://yahikoyama.github.io/weather2/weather_report_now_zh.html (yahikoyama.github.io in Bing)

🇰🇷 Korean
https://yahikoyama.github.io/weather2/weather_report_now_ko.html (yahikoyama.github.io in Bing)

Source Code
The full source code and database backup are included in:weather.zip

Conclusion
This project demonstrates how PowerShell, SQL Server, and GitHub Pages can be combined to build a fully automated, multi‑language weather reporting system.
I hope this helps others who want to explore automation, API integration, or GitHub Pages workflows.