News classifier web app.

Table of Contents

1. About The Project
2. Built With
3. Prerequisites
4. Usage
5. Acknowledgments

About The Project

• Developed text classifier to classify title/description of News in certain categories.
• Computed and visualized probability of every category
• Coded with Multinomial Naive Bayes algorithm, which is based on Bayes Theorem.
• My CS50X - Introduction to Computer Science Final project.

Built With

• Flask
• Vue.js
• Scikit-learn

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Prerequisites

You must have these Tool installed.

• Python
• Node.js
• Jupyter notebook
• Visual studio code

You need to install all dependencies related to project.

• Backend - Refer to this link.
• Frontend - Refer to this link.

After installing all dependencies follow these steps.

1. Open CMD goto /backend dir. of this project and run following command.

   flask run
   

   By default, flask will run on port 5000.

2. Open CMD goto /frontend dir. of this project and run following command.

   npm run serve
   

   By default, Vue.js will run on port 8080.

3. Navigate to URL http://127.0.0.1:8080

4. and... Voila our web app is started.

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Usage

Some screenshots from my project, soon going to share a demo youtube video link.

Ex.1	Ex.2
Ex.3	Ex.4
Ex.5	Error - Empty news

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Acknowledgments

This is list of resources i find helpful and would like to give credit to.

• Flask documentation
• Vue.js documentation
• Scikit-learn documentation
• GitHub README Template
• StackOverflow - The G.O.A.T

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