Rivalry Radar Uses Gemini AI and Snowflake to Rank World Cup Fan Passion Live

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A developer built Rivalry Radar, a web app that lets football fans post 280-character reactions to any World Cup matchup and rates their emotional intensity on a scale of 1 to 10. Google's Gemini AI instantly classifies the sentiment of each submission and generates a short stadium-announcer-style verdict based on the latest fan takes for a given rivalry. Snowflake serves as the data warehouse, storing all submissions and computing a live Heat Index that ranks which rivalry is generating the most passion at any given moment. The project was submitted to the DEV Community's Weekend Challenge: Passion Edition, targeting the Best Use of Google AI and Best Use of Snowflake categories. The app's goal is to turn the flood of unstructured fan commentary that typically vanishes into group chats into measurable, rankable data.

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