diff --git a/content/use-cases/predicting-what-we-breathe.md b/content/use-cases/predicting-what-we-breathe.md
index e4f75d1c..e8fb153c 100644
--- a/content/use-cases/predicting-what-we-breathe.md
+++ b/content/use-cases/predicting-what-we-breathe.md
@@ -1,10 +1,9 @@
 +++
-title = 'Predicting what we breathe'
-tags = ['Health', 'Community']
-categories = ['developer']
+title = "Predicting What We Breathe"
+tags = ["Health", "Community"]
+categories = ["developer"]
 featured_image = "/uploads/PWWB-AQLACityWebsite.webp"
 featured = true
-
 +++
 
 Data from the OpenAQ platform informed the development of (and continue to feed) a highly accurate air pollution prediction model for Los Angeles County and beyond. The Predicting What We Breathe (PWWB) model provides hourly air quality predictions for six pollutants–PM2.5, ozone, CO, CO2, NO, and NO2–at a spatial resolution of 1 km2.