In an age where information spreads rapidly, distinguishing between real and fake news has become increasingly challenging. Misinformation can have serious repercussions, affecting public opinion, financial markets, and even global events. To combat this growing issue, we present Hypervion – a sophisticated fake news detection application designed to empower users with accurate information verification. Hypervion leverages the latest advancements in CNN and NLP to analyze news headlines and articles, providing users with a clear indication of their authenticity. Whether you're a journalist, researcher, or simply a concerned citizen, Hypervion is here to ensure that you have access to reliable and trustworthy information.
Live Link: https://fake-news-detection-system.pages.dev/
Video Link : https://youtu.be/Ww8YyZLzHvo
Design Doc Link: https://docs.google.com/document/d/1KaYDmMauEX7DBs25sFvy9qfzNaJ8WrNPS0v70BxRseM/edit
To create a tool which uses Machine Learning Algorithms to identify and flag misleading and fabricated news articles from online sources.
React.js, Firebase, Flask, TensorFlow
Backend: Deployed on Render (All backend info is in backend branch)
Frontend: Deployed on Cloudflare Pages (All frontend info is in frontend branch)
Note:
The backend code and design lies in the backend branch. All backend info is in backend branch.
The frontend code and design lies in frontend branch. All frontend info is in frontend branch.