Arabic-dialect-classification

Many countries speak Arabic; however, each country has its own dialect, the aim of this project is to build a model that predicts the dialect given the text.

Data :

• The dataset has 2 columns, id and dialect (target) , which has 18 classes.
• The “id” column will be used to retrieve the text by calling this API by a POST request. https://recruitment.aimtechnologies.co/ai-tasks
• The request body must be a JSON as a list of strings, and the size of the list must NOT exceed 1000.
• The API will return a dictionary where the keys are the ids, and the values are the text

Here i Train two models, a machine learning model and a deep learning model.

Repo structure:

• Dataset
• Data fetching notebook
• Data pre-processing notebook
• Model Training notebook
• Deployment notebook