Building the App for Predictive Disaster forecasting using Azure
summary
An end-to-end app pulls Azure Maps forecast tiles (next 12–30 hours) into Azure Table Storage, an Azure Function polls every five minutes to evaluate thresholds (examples: >35°C, >40–50°C) and assembles alerts, and Twilio SMS sends notifications to subscribers; demo code is a Python app from Microsoft Learn (also runnable in .NET/Java) and is published publicly, though the live demo fails locally due to OS script issues. Setup uses free Azure/Student tiers and Twilio $10 trial credits.
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chapters (9)
- 0:00Predictive disaster forecasting
- 1:55Use cases and data sources
- 3:44Azure setup prerequisites
- 6:52Azure function and storage
- 9:21Python app demo and alerts
- 12:40Student project ideas
- 17:42Extending alerts to email
- 21:13Custom alert conditions
- 22:17Q&A
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