Skip to content

abhipi/Fake-Truth

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 

Repository files navigation

Fake Truth- LSTM based fake-news detection

  • This Android app is designed to detect fake news by utilizing a combination of a trained LSTM (Long Short-Term Memory) Network (Python) and Beautiful Soup (Java) for web scraping. The core of the fake news detection is powered by a trained PyTorch model with 94.47% accuracy on the WELFake Dataset that analyzes the content of news articles to determine their authenticity.

  • The app is user-friendly, allowing users to input a news article URL. It then scrapes the web-page using Beautiful Soup and processes the input using the locally-bundled LSTM model to predict whether the news is real or fake. APK: https://drive.google.com/file/d/1Cpd_4N6T5TT89t5ITT3FcjMJIRzeq_fa/view?usp=sharing

About

FakeTruth is an Android app to detect fake news, utilizing a PyTorch based LSTM model and real-time web scraping with BeautifulSoup to determine the authenticity of news articles.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages