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 . Reader ([ ' ru ' ], gpu = False ) Enter fullscreen mode Exit fullscreen mode 3/Country filtering Here will be using results of stage 1 and 2.…