LooksMapping is an innovative interactive heat map that rates around 10,000 restaurants in New York City based on the attractiveness of their diners. This project, initiated by coder Riley Walz, utilizes artificial intelligence to analyze millions of Google Maps reviews and profile photos, assigning a 'hotness' score from 1 to 10. Red pins denote restaurants frequented by attractive individuals, while blue pins indicate those less so. The project reflects a broader trend in NYC culture, where dining choices are influenced by social scene rather than just food quality.
LooksMapping is an interactive heat map evaluating the attractiveness of diners at nearly 10,000 restaurants in New York City using AI to analyze Google Maps reviews.
The project assigns each restaurant a 'hotness' score from 1 to 10, with red pins marking spots with highly attractive clientele and blue pins indicating less so.
Despite its absurdity, LooksMapping reflects a genuine New York City obsession with dining locations that promise a vibrant social scene rather than just good food.
Created by coder Riley Walz, it serves as a satire on societal vanity, emphasizing how superficial judgments permeate everyday choices in social interactions.
Collection
[
|
...
]