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It is a search engine for COVID-19, which aims to find the most related articles.

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Projet-Informatique: Search engine for Covid-19

Course: IN104

ENSTA, Institut Polytechnique Paris

Context

Over the years, health issues have been studied by doctors and researchers. However, due to the pandemic situation, thousands of institutions and scientists are mobilized to tackle the Coronavirus (Covid-19). In consequence, the number of medical articles has been increasing exponentially.

With the continuous increase in the amount of digital documents in the web, it is challenging for researchers and scientists to find articles related to the domain of interest. However, having an adequate tool can save time considerably. For instance, a search engine is a good choice to find the most related articles to the keywords one is searching for. Inspired by discovid.ai we propose you to build your own search engine for Covid-19.

Instructions

The codes presented are not optimized and contain errors. Therefore, based on your Python classes you should optimize the code, and use classes, objects and instances. In addition, you should implement the four pillars of OOP: encapsulation, abstraction, inheritance, and polymorphism.

Your code should use PEP 8 as a style guide for Python code.

Contact

jessicalopezespejel(at)gmail(dot)com

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It is a search engine for COVID-19, which aims to find the most related articles.

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