Inspiration

In 2020 I got a message in whatsapp that PM Narendra Modi was giving 20000 to every family in covid era and also a link provided with message I clicked and applied in result in my bank account 2000 got reduced after that I came to know that it is a fake news.So I took this project to avoid this frauds.

What it does

It predict if a news is real or fake before it goes viral in social media.

How we built it

By importing CSV file into DataFrame by using Numpy and Pandas. By using SKLearn module, we did the Data Preprocessing

Challenges we ran into

As we are in our 2nd year and we are not yet introduced to the concepts of Data Cleaning, ML training models etc.. there is slight confusion in the code running related to these topics especially when errors like Type error, Value error etc..

Accomplishments that we're proud of

We consider participating in this hackathon is our first accomplishment, then understanding the problems, coding the solutions and finally getting the most accurate results.

What we learned

We got to know how a hackathon will take place, we learned the concept of data set, data cleaning, stages in cleaning, training the ML model, Test cases and how to get accurate results.We got to know how a hackathon will take place, we learned the concept of data set, data cleaning, stages in cleaning, training the ML model, Test cases and how to get accurate results.

What's next for Fake News Prediction

To make the project more efficient

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