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Country Classifier

A simple classification project using BERT. This project classifies a country based on a given text. It utilizes the BERT model to understand the context of the text and predict the country. The application is built using Python, Pandas, Pytorch, Huggingface, and Gradio.

Table of Contents

Introduction

The Country Classifier project is designed to analyze and classify countries based on a dataset containing various attributes. This can be useful for data analysis, research, and educational purposes.

DATASET

https://geosaurus.maps.arcgis.com/home/item.html?id=ab36969cfe814c89ba3b659cf734492a

Features

  • Classification of countries based on provided attributes
  • Utilizes modern machine learning algorithms
  • Easy to use and extend

Installation

To install the necessary dependencies, run the following command:

pip install -r requirements.txt

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Country name classification using BERT

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