Open Source · GSSoC'25

About Quick Fact Checker

An AI-powered tool that helps you cut through misinformation — built in the open, for everyone.

4+
ML Models
91%
Best Accuracy
9
Languages
LIAR
Dataset

What Is Quick Fact Checker?

QuickFactChecker is a machine learning–based web app that helps detect whether a news article is real or fake. It uses models like Naive Bayes, Logistic Regression, Random Forest, and LSTM — trained on the LIAR dataset — to evaluate credibility and help users identify potentially misleading information.

We aim to empower individuals to make informed decisions in an era of rapid information sharing.

Models Under the Hood

Logistic Regression
87% accuracy
Random Forest
89% accuracy
LSTM (Deep Learning)
91% accuracy
Naive Bayes
Fast screener

All models are trained on the LIAR dataset — a benchmark corpus of 12,836 labeled political statements. Read the model blog →

GirlScript Summer of Code — GSSoC'25

Official open-source program · 3 months · India & beyond

This project is an official part of GSSoC'25 — one of India's largest open-source programs encouraging developers of all levels to contribute to real-world projects while learning, collaborating, and growing together.

Improve your skills
🤝Contribute to impactful projects
🏆Get recognized for your work
📜Receive certificates & swag

Features

🧠
Multi-Model Analysis
Naive Bayes, Logistic Regression, Random Forest & LSTM
🌐
9 Languages
Full i18n support including Arabic, Hindi, Japanese & more
🔗
URL Fetching
Paste a URL and we extract & analyze the article text
📊
Performance Dashboard
Compare model accuracy, precision, recall & F1 interactively
📱
PWA Ready
Installable as a Progressive Web App on any device
🔒
Auth System
Register & sign in to save your fact-check history

Ready to check a fact?

Paste any news article or claim and get an AI-powered verdict in seconds.