Project Overview

An advanced AI-powered fact-checking system that uses semantic analysis and real-time claim extraction to verify information accuracy.

Problem Statement

In an era of information overload and misinformation, there was a critical need for an intelligent system that could automatically verify claims and provide evidence-based fact-checking.

Solution

Developed a comprehensive fact-checking pipeline that combines natural language processing, semantic embedding, and real-time web scraping to extract claims, find relevant evidence, and provide accurate verification results.

Key Features

  • Real-time claim extraction from text
  • Semantic similarity matching using FAISS
  • Automated web scraping for evidence gathering
  • Interactive Streamlit interface
  • Confidence scoring for fact-check results
  • Support for multiple languages

Results & Impact

95% accuracy in fact verification
Processing 1000+ claims per minute