Fake news Detection

Fake News Detector

Inspiration

We have got an idea to create a fake news detector by seeing the current scenario in this generation where many peoples are manipulated by fake news on various issues and creating a chaos between people. Specially the one's older in age are blown away by the news and get panicked. The fear in the present days in all are that by any means their money is not credited by fake OTPs,messages,calls. And without knowing the matter correctly they get indulge into the waste matter. Moreover, people get into conflicts and fight on different issues when misleaded. In various reasons people loses everything following this fake news. Seeing these circumstances, it gave us a innovation to build a model which would make people aware of the fake news and help them from getting manipulated.

What it does

Our software helps people to know the news is correct or not and stop them from getting manipulated. People with high bp may get heart attacks by listening to this fake news or their pressure may also fall down. Further there are many problems arising by these kinds of fake news and face many problems. Like for example if we take the situation of covid-19 where people were manipulated by many kinds of news, as people could not go out the news was the option to know about the situations out and with this by the fake news people panicked a lot and by this their health also deteriorate. So, to overcome these problems our software would help people to know the accurate news. And stop themself from misleading with serious issues and matters like voting, any pandemic related matter or various things daily.

How we built it

We built these models by training more than 40k dataset and trained the model using different algorithm such as logistic regression, random forest classifier and fetched their accuracy of the inputted data to get their desired output.

Challenges we ran into

firstly, we have to collect many data sets.
How to train and from where, to train our algorithm.
After training our algorithm to find the accuracy of the module. We have found many difficulties to increase the accuracy, to provide proper information to the people. ## Accomplishments that we're proud of Now we are giving only that the new is authentic, further we will give update about from where the fake new is generated. We will also attach the graphs. ## What we learned We learned about svm algorithm, logistics regression & some more algorithms such as Random forest algoritm,Gradient boosting classifier and also about fake news detection system. Also we learned about machine learning in details. Overall we came to know about many things working through the project.

What's next for Fake news Detection

Now we are giving only that the new is authentic, further we will give update about from where the fake news is generated. We will also attach the graphs and make a web app for these.