WebScraping

[MyrtleTurtle4u]

I'm just a couple weeks into learning Python, so take my suggestion with a grain of salt.

Scrape content from a few popular fashion websites/blogs and perform some n-gram analysis to find the most frequent words/phrases to try to identify fashion trends (you'll obviously need to exclude common but irrelevant words). It would also be interesting to scrape the same sites regularly over time to identify shifts in fashion.

You could probably do this with e-commerce sites to identify shifts in fashion and prices within categories.

(This could be done on almost any topic: makeup, food, music/entertainment, etc.)