The problem FAKE NEWS DETECTOR solves

1.The boom of Internet & social media platforms have led to the rise of fake news spreading which misguides the mass. Whatsapp University has led to several misconceptions and chaos.

2.In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from Python with maximum accuracy using just the headline of the news.

Challenges we ran into

1. While building the classifier we found it difficult to shape the algorithm along with the correct syntaxes that was rectified after we brainstormed a bit.

2. While connecting the frontend i.e, the html and connecting it with the model which was done after reading few articles and creating a separate code called view.py