Hey Streamlit Community!
I just deployed my Fake News Detection App, designed to analyze and verify the authenticity of news articles. Itβs powered by ML + NLP, allowing users to enter news text or a URL and get a prediction with explainability.
Features:
Text & URL-based news analysis
ML-powered predictions with confidence scores
LIME explainability for transparency
User voting to refine predictions
Firebase integration for user interactions
Tech Stack:
ML Model: Random Forest with TF-IDF + HashingVectorizer
Framework: Streamlit for UI
Hosting: Hugging Face
Database: Firebase
Try it here: https://fake-news-detection-c5wy5kuvhc7gnn6cfruegk.streamlit.app/
Would love feedback from the community! What features should I add next?
streamlit #MachineLearning ai nlp #FakeNewsDetection #DataScience