🛡️ DeepFake Guard – AI-Powered Deepfake Detection System

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🧭 Project Overview

DeepFake Guard is an advanced AI application that detects and analyzes deepfake images and videos using EfficientNet-B0.
Built with FastAPI and React, it provides real-time verification, interpretability, and transparency to ensure digital media authenticity.

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🚀 Features

• 🔍 Deepfake Detection: Identifies manipulated or AI-generated images and videos.
• 🧠 AI-Powered Analysis: Utilizes EfficientNet-B0 for feature extraction and deepfake classification.
• 💡 Explainable Results: Provides confidence score, authenticity label (Real/Fake), and downloadable analysis report.
• 🌐 Web-Based Interface: Upload and verify media files in real time.

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🧰 Tech Stack

• Frontend: React.js
• Backend: FastAPI
• AI Model: EfficientNet-B0
• AI Frameworks: TensorFlow, MediaPipe
• Other Tools: OpenCV, NumPy, Matplotlib, Pandas

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📦 Installation

# Clone the repository
git clone https://github.com/SanjayMuthuswamy/DeepFakeGuard.git

# Navigate to project folder
cd DeepFakeGuard

# Install dependencies
pip install -r requirements.txt

# Run the backend server
uvicorn app:app --reload

# (Optional) Run React frontend
cd frontend
npm install
npm run dev
# or
npm start