Multi-task NLP project based on maritime legal articles divided into two tasks related:

• First task: aims to gather (scrape), preprocess the dataset which is a maritime juridique articles, and then use machine learning models to classify those articles into:

    - "Zone" means that articles talk about a zone maritime.
    
    - "Not Zone" which means the opposite.

• Second task: Based on the result of the first task, deal with the "Zone" articles and detect the coordinates of this zone or its surface, using NER (Named-Entity-Recognition).