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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.
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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