iSchool Capstone

See-weed: Detecting Storefront Advertising of Age-restricted Retailers

Project tags:

data science & visualization

digital youth & youth services

social justice

The youth across King County are rampantly being exposed to age-restricted products like Marijuana, Tobacco, Vapes etc. To address the issue, we partnered with King County and built a computer vision model that analyzes the storefront images of age-restricted retailers and categorizes them into different groups based on advertisement aggressiveness or intensity. The advertisement intensity groups are classified as ‘High’, ‘Medium’, and ‘Low’. The results will help recommend suitable actions to create a safer advertising space. This will also enable various regulatory bodies to create awareness among the youth and bring necessary policy reforms to prevent unhealthy advertising.

Project participants:

Nakul Sarwate

MSIM

Pallavi Banerjee

MSIM

Urvi Chaudhary

MSIM

Varsha Gururaj

MSIM