Hallo,

Github Repo: https://github.com/yacine204/geoGuessr_Assistant

So i recently finished my final year project in computer science (3rd year) and the theme was GeoGuessr Assistant which basically gives candidates coordinates hinting where u are in the game.

The Idea

instead of going full AI i went hybrid and focused on the strongest Human-Like clues (road signs and any type of text).

How It Works

the pipeline consits of 5 stages

1/Road Sign Convention Detection :

Fine tuned a YOLOv8m model to detect these classes:

MUTCD

VIENNA

AMBIGUOUS

2/Text Extraction

Used EasyOCR for this step but im still thinking of finetuning it to be able to detect any asian language without having to manually configure the default language.

_easyocr_reader = easyocr . Reader ([ ' en ' ], gpu = False ) #if i get slavic text per example i have to do this _easyocr_reader = easyocr .…