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VerifyAI 🛡️

Trust, but Verify. An AI-powered platform for detecting deepfakes, verifying news credibility, and analyzing media integrity.

Tech AI

📖 Overview

VerifyAI is a modern web application designed to combat misinformation in the digital age. It leverages advanced Large Language Models (LLMs) and computer vision techniques to analyze text, images, and video content. With a futuristic, high-tech interface, users can instantly receive credibility scores, fact-check summaries, and deepfake probability ratings.

✨ Core Features

🔍 Verification Tools

  • 📝 Text Verification: Input news headlines or articles to receive a comprehensive AI analysis.
    • Outputs: Credibility score, fact-check summary, and highlighting of manipulated phrases.
  • 🖼️ Image Verification: Upload images to detect deepfake manipulations.
    • Outputs: Probability score (Real vs. Fake), marked image previews, and referenced articles.
  • 🎥 Video Verification: Analyze video URLs (YouTube, TikTok, etc.) for inconsistencies.
    • Outputs: Likelihood score and inconsistency analysis.

🎨 User Experience

  • Visual Results Dashboard: Results are presented in animated cards with clear color-coded trust indicators:
    • 🟢 Green: Reliable
    • 🟡 Yellow: Suspicious
    • 🔴 Red: Fake
  • Responsive Design: Seamless experience across mobile and desktop devices.
  • Theme System: Fully supported Light and Dark modes with a high-tech aesthetic.

🛠️ Tech Stack

Frontend

Backend & AI

  • BaaS: Firebase (Firestore, Auth)
  • AI Orchestration: Genkit
  • Logic: Server Actions (actions.ts) & Edge Functions

🎨 Design System

The application follows a "Machined & Modern" aesthetic.

Element Color / Value Hex Code Usage
Primary Deep Blue #2962FF Trust, Technology
Background Dark Gray #2B3035 High-tech backdrop
Accent Electric Purple #BE29FF Interactive elements
Font Inter sans-serif Clean, technical readability

📂 Project Structure

The project is organized for scalability, separating UI components, AI logic, and Firebase configurations.

VerifyAi/
├── src/
│   ├── ai/                 # AI Logic & Genkit Flows
│   │   ├── flows/          # Specific analyzers (Image, Text, TTS)
│   │   └── genkit.ts       # Genkit configuration
│   ├── app/                # Next.js App Router Pages
│   │   ├── actions.ts      # Server Actions
│   │   ├── globals.css     # Tailwind & Global Styles
│   │   └── layout.tsx      # Root Layout
│   ├── components/         # React Components
│   │   ├── ui/             # Reusable Shadcn UI components
│   │   ├── layout/         # Header, Footer, Nav
│   │   └── verifier.tsx    # Main Verification Logic
│   ├── firebase/           # Firebase Config & Hooks
│   └── lib/                # Utilities & Types
├── next.config.ts          # Next.js Configuration
└── package.json            # Dependencies

🚀 Getting Started

Prerequisites

  • Node.js (v18 or higher)

  • npm or yarn

  • A Firebase project with Firestore enabled

Installation

Clone the repository

git clone https://github.com/yourusername/verifyai.git
cd verifyai

Install dependencies

npm install
# or
yarn install

Environment Setup Create a .env.local file in the root directory and add your Firebase and AI API keys:

NEXT_PUBLIC_FIREBASE_API_KEY=your_api_key
NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_project_id.firebaseapp.com
NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project_id
GOOGLE_GENAI_API_KEY=your_gemini_key

Run the development server

npm run dev

Open http://localhost:3000 with your browser.