https://github.com/spidy20/fake_news_detection

Fake News Classification WebApp using Flask & Python
https://github.com/spidy20/fake_news_detection

Last synced: 6 months ago
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Fake News Classification WebApp using Flask & Python

• Host: GitHub
• URL: https://github.com/spidy20/fake_news_detection
• Owner: Spidy20
• Created: 2021-02-07T04:54:47.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-12T04:09:23.000Z (about 2 years ago)
• Last Synced: 2025-03-26T11:44:43.942Z (7 months ago)
• Language: Jupyter Notebook
• Size: 13.4 MB
• Stars: 72
• Watchers: 1
• Forks: 50
• Open Issues: 4
• Metadata Files:
  • Readme: README.md

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README

          
#  Fake News📰 Classification WebApp using Python

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 

[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

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### Sourcerer





## [See the Tutorial of this Project](https://youtu.be/GS_ylghUtLQ)

## Usage:-

- Clone my repository.

- Open CMD in working directory.

- Run `pip install -r requirements.txt`

- Open project in any IDE(Pycharm or VSCode)

- Run `Fake_News_Det.py`, go to the `http://127.0.0.1:5000/`

- If you want to build your model with the some changes, you can check the `Fake_News_Detection.ipynb`.

- You can check web app is working fine. Sometimes predictions may be wrong.

## Screenshots





## Note

- This project is just for learning purpose, don't think, it can do work in real time, because model was trained on historic & limited data.

- For real time building of this kind of system, we need updated dataset and we need to build a model in particular interval of time, because news data can be updated in seconds, so our model should be also updated with the data.

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