SUMMARY AI要約 by gpt-5-mini
Automated AQI Monitoring System for 17 Metro Manila cities. Built by DSA4154 Group 3 to scrape hourly air-quality data (PM2.5, PM10, O3, NO2) from AccuWeather and feed a live Tableau dashboard. It uses a serverless pipeline: Python scraper (bridge.py) extracts pollutant values, GitHub Actions schedules hourly runs, and cleaned timestamped rows overwrite a Google Sheet via a service-account credential; Tableau Desktop/Public connects to that sheet for visualization. Intended users: course instructors, analysts, and dashboard viewers. Repo contains the workflow (.github/workflows/main.yml), requirements, credential handling notes, output schema, and pollutant health-impact documentation.
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| GitHub作成日 | 2026-05-08 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:20 |
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