Fake news detector

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Fake news detector

This hackathon project builds a web app that instantly detects fake news using machine learning and provides verified correct information. Users paste news text, get Real/Fake prediction with confidence score, and see official sources for fake news. �Key FeaturesAI Detection: TF-IDF + Logistic Regression model (95%+ accuracy)Real-time Prediction: Flask backend, <200ms responseSmart Verification: Shows Government/WHO/ISRO facts for common fake topicsSimple UI: HTML frontend - paste news, click predictTech StackFrontend: HTML + JavaScript Backend: Flask Python API ML: Scikit-learn (TF-IDF + LogisticRegression) Files: model.pkl + vectorizer.pklHackathon ImpactProblem: Fake news spreads 6x faster than truthSolution: Instant detection + truth verificationDemo Ready: 45 seconds live prediction

Built With

• css
• html
• java
• javascript
• ml
• mongodb
• natural-language-processing
• python