A Power Platform Love Story
summary
System pulls public Tinder profiles using the Tinder API via custom connector (token captured from devtools/Postman), extracts bios and images, sends facial attributes to Face API, and stores metadata in Dataverse. A Power Apps front end lets bulk swipe via API using keyword red flags, Power Automate triggers AI Builder to run a predictive model trained daily, and Power Virtual Agents drafts first messages to filter ghosters. Result: the system surfaces surprising preferences (thought brown hair but data shows bald/black), it generates matches and even flowers but does not produce a long-term boyfriend yet.
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chapters (11)
- 0:00Start
- 4:45First Computer-Based Dating
- 7:15Dating Apps
- 18:11Analytics
- 19:53Power Virtual Agent
- 21:53Power Automate
- 24:40Analyzing the User Bio
- 26:47Prediction
- 32:22Use of a Custom Connector
- 33:34Ai Builder
- 35:43End Slide
