Truth Verifier: An AI Fact-Checking Agent

by: Joe Domaleski and Sophie Castellon

Georgia Tech 2025 AI ATL Hackathon

An advanced AI agent designed to meticulously fact-check claims using Google Search and Google Maps. This tool deconstructs complex statements, analyzes source credibility, and provides a clear, data-driven verdict to help you distinguish fact from fiction. It features a detailed explanation of its reasoning, a visual 'truth-meter', and a confidence score to assess the validity of any statement or the claims within a web article.

Key Features

• Dual-Mode Verification: Verify claims entered as plain text or by providing a URL to an article.
• Claim Deconstruction: Automatically breaks down complex, multi-part claims into simpler, verifiable sub-claims for a more granular analysis.
• Real-Time Grounding: Leverages the power of Google Search and Google Maps to gather the most current information.
• Source Credibility Analysis: Identifies definitive sources and evaluates their bias, sentiment, and tone.
• Interactive Visualizations:
  • Truth Meter: An intuitive gauge displaying the overall confidence score of the verdict.
  • Source Landscape: A chart plotting sources based on their bias and tone, providing a clear view of the information landscape.
• Location-Aware: Optionally uses your geo-location for more accurate results on "nearby" or location-specific queries.
• Detailed Reporting: Generates a comprehensive report including an overall verdict, a summary explanation, and a breakdown of each sub-claim analysis.

More Information about the Project

• Devpost: https://devpost.com/software/truth-verifier-an-ai-fact-checking-agent
• YouTube: https://youtu.be/FG_24rk-ngU?si=PABj8I0rGXrvsDTN

Try It Out Link

Web: https://truth-verifier-541538522417.us-west1.run.app/

Run Locally

Prerequisites: Node.js

1. Install dependencies:

   npm install

2. Set Environment Variable: Create a file named .env.local in the root of the project and add your Gemini API key:

   API_KEY=your_gemini_api_key_here
   

   Note: The project is currently configured to use process.env.API_KEY, so you may need to adjust your local setup to expose this variable correctly (e.g., using a .env file with a library like dotenv).

3. Run the app:

   npm run dev