muhammadnavas/Fake_News_Predictor

RAG-Enhanced Fake News Predictor analyzes news content using multi-API verification, AI assessment, and machine learning models. It cross-checks articles against a knowledge base, validates news authenticity, and provides detailed insights, helping users identify fake or misleading information efficiently.

17
/ 100
Experimental

This tool helps you quickly determine the authenticity of news articles and headlines. You input a news story, and it provides a comprehensive assessment by cross-referencing multiple news sources, a factual knowledge base, and AI analysis. Anyone who needs to identify fake or misleading information, such as journalists, researchers, or general news consumers, would find this valuable.

Use this if you need a quick, multi-faceted way to verify news stories and get an in-depth report on their potential authenticity.

Not ideal if you are looking for a fully automated, hands-off content moderation system without human input or review.

news-verification fact-checking information-literacy media-analysis misinformation-detection
No License No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 7 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

Python

License

Last pushed

Dec 06, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/muhammadnavas/Fake_News_Predictor"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.