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A fake/real news detection system using Sklearn, Django, JavaScript, HTML & CSS

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munas-git/Fake-news-detection

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Project Status: Completed.

Project Title: Fake News Detection Systsem.

Project Description.

This AI system is capable fo classify news into two broad categories: Real and Fake news. The data was gotten from Kaggle. Some of the steps involved in the model training include:

Download and unzip "news-transformer" here

  • Turning texts into lower case.
  • Removal of numbers.
  • Removal of symbols, special characters and white spaces.
  • Removal of stopwords (english).
  • stemming of words.
  • Text transformation using TF-IDF Vectorizer.

Tools and Libraries Used

  • re
  • CSS
  • HTML
  • NLTK
  • Pickle
  • Django
  • Seaborn
  • Matplotlib
  • JavaScript
  • Scikit-learn
  • Pandas (Python)
  • Visual Studio Code (IDE)

Demo of System

System.demo_2.mp4