Web app powered by a Fake news classifier pretrained on LIAR: A Benchmark Datset for Fake News Detection.
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Scraper and parser that dynamically scrapes latest news from various news providers.
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Fake news classifier, which checks the authenticity of scraped news articles.
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Text Summarizer, made using nltk to generate a short summary of the news article.
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Facebook messenger integration, so that users can get the latest authentic news right on their cellphone.
- Offline news feed for subscriptions.
- Daily Mail (yet to be integrated with template).
- SMS Integration.
- Blog App Integration.
- Install dependencies
$ pip3 install -r requirements.txtWe're are open to enhancements & bug-fixes 😄 Also do have a look here.
- This project was done under
24 hours with no pre-preparation.