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TruthGuard AI — Multi-Modal Authentication & Detection Platform

An advanced, full-stack content verification platform designed to combat deepfakes and synthetic media. It provides a clean web interface where users can analyze both text blocks and images simultaneously to detect AI-generated content with high precision.

Tech Stack

  • Backend: Python, Flask, Flask-CORS
  • Frontend: HTML5, CSS3, JavaScript (ES6)

How It Works

Separate, specialized processing streams handle text analysis and image analysis simultaneously. A real-time statistical dashboard dynamically tracks total scan counts, AI-flagged detections, and human-content ratios.

Setup and Installation

1. Install dependencies

Run this command in your terminal:

pip install flask flask-cors

2. Start the API server

Run this command in your terminal:

python backend/app.py

3. Open the interface

Once the server is running, open your web browser and navigate to:

http://127.0.0.1:5000

About

A multi-modal AI content detection platform built with Python, Flask, and vanilla frontend web technologies to analyze and detect AI-generated text and images.

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