Fake-news Classifier

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Web app powered by a Fake news classifier pretrained on LIAR: A Benchmark Datset for Fake News Detection.

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Features

• Scraper and parser that dynamically scrapes latest news from various news providers.

• Fake news classifier, which checks the authenticity of scraped news articles.

• Text Summarizer, made using nltk to generate a short summary of the news article.

• Facebook messenger integration, so that users can get the latest authentic news right on their cellphone.

Facebook Integration

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Add-Ons

• Offline news feed for subscriptions.
• Daily Mail (yet to be integrated with template).
• SMS Integration.
• Blog App Integration.

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Installation

• Install dependencies

        $ pip3 install -r requirements.txt

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Contributing

We're are open to enhancements & bug-fixes 😄 Also do have a look here.

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Note

• This project was done under 24 hours with no pre-preparation.

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Contributors

• @2knal
• @vtg2000
• @anay121
• @math1312
• @mihir2510