DeepShield

DeepShield is an Android app for detecting deepfake videos using AI. It features a modern UI, video upload, backend integration, and real-time results.

Features

• Pick and preview videos from your device
• Generate video thumbnails
• Upload videos to backend for deepfake detection
• View detection results with confidence and processing time
• Modern themed UI
• Python backend for AI inference

Screenshots

🔐 Login Screen	📂 Pick Video Screen	⚙️ Processing Screen	📊 Results Screen

Getting Started

Prerequisites

• Flutter SDK (https://flutter.dev/docs/get-started/install)
• Python 3.10+ (for backend)
• Android/iOS device or emulator

Installation

1. Clone the repository:

   git clone https://github.com/iPriyanshu19/deepshield.git
   cd deepshield

2. Install dependencies:

   flutter pub get

3. Run the Flutter app:

   flutter run

4. Set up the Python backend:
   • Navigate to backend/
   • Create and activate a virtual environment (optional)
   • Install requirements:

     pip install -r requirements.txt

   • Start the backend server:

     python server.py

Project Structure

lib/
  main.dart
  screens/
    home_screen.dart
    login_screen.dart
    result_screen.dart
backend/
  server.py
  requirements.txt
  model/
    df_model.pt
assets/
  logo.png
  glogo.png

Usage

• Launch the app and log in
• Pick a video to analyze
• View the thumbnail and upload for deepfake detection
• See results in a dedicated result screen

Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.