This can never be more accurate!

Oooops

Random af project idea that will see me burned alive by the internet (because if I do it I intend to put it in dev.to which is full of "that offends me" people):

Generate a classifier that will scan text from different websites and categorize where the person might be from.

Example: "plz send bob and vagene" <--- we all know

"mami que ricas nalgas" <--- Mexican for the most part.

"there, their, they're and similar text" <--- my fellow Americans for the most part....

"cyka blyat" <--- 0.o we know

"pompous statement about the way Americans do shit" <--- European, meaning, from Yurop.

"angry as fuck rant/banter" <-- German

"lol whatever Trump is the best president ever" <--- some moron from the south of the U.S (south much like myself but I am not a Trump supporter nor a republican)

etc etc.

What makes this complex is that I would have to put together my own dataset in the highly likely chance of something like that not existing already for me to use.

Can you imagine the chaos?

Every time a Indian dude mails me at work I always get the urge to just answer:
Sorry I dont have bobs and vagene