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A guide to mapping New York City complaints with AI

This guide explains how to download New York City public complaint records and use an AI tool to estimate their severity. You will learn how to build visual maps showing where issues are reported.

Original by CompleteTech LLC AI ResearchEvaluation

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Credits

“NYC 311 · JEV Heatmaps” by CompleteTech LLC AI Research. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

This project provides instructions for downloading public 311 complaint records from New York City and turning them into visual maps. People can use this to see where residents report issues like noise or sanitation problems over a single day.

The software groups identical complaints together to save time. It then sends the descriptions to Jev, an AI tool that chooses from a set of options rather than writing an answer. The tool estimates the severity of each issue to color-code the maps.

These maps only show what people reported and what the AI guessed, not proven dangers or actual harm. This guide is useful for researchers who want to test how AI evaluates text before spending money on a private access code.

Key takeaways

  1. Limit your data to a single day before comparing different geographic areas.
  2. Check how many unique complaints you have before paying for the AI tool to evaluate them.
  3. Remember that blank spots on the map do not prove an area is free of problems.

The project includes 32 offline tests, but these use fake records and simulated AI responses. They check the local software mechanics rather than proving how well the live AI tool actually works.

Repository README · Source reviewed

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