EE461P_Final_Project_Fake_News_Classifier

Using ML to classify real and fake news

Breakdown of contents

• liar - folder that contains all the jupyter python notebooks where we explored data and generated models
• frontend - folder that contains React source code for frontend of our web app that allows you to interact in real time with our best performing model
• backend - folder that contains python Flask source for the backend of our web app that allows you to interact in real time with our best performing model

Steps to run the web app demo

• To run the backend do the following:
  • cd into the 'backend' folder
  • run 'python app.py' (make sure you have all dependencies installed)
• To run the frontend do the following:
  • cd into the 'frontend/fake_news_classifier_app' folder
  • run 'npm install'
  • run 'npm start'
• Enjoy exploring fake news classification!