F_Recog-Gate

🔐 Facial Authentication System (Tkinter + MediaPipe)

A secure facial authentication system built with Python, Tkinter, and MediaPipe.
Designed for educational purposes (school project) — featuring a modern UI, encrypted storage, and GDPR-friendly principles.

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✨ Features

• 🧠 Face Recognition with MediaPipe
• 🔒 Strong Data Protection
  • Stores only 2D landmark coordinates (no images)
  • Encrypted using Fernet symmetric encryption
• 👤 User Management
  • ➕ Register face (with consent)
  • 🔑 Login with face recognition
  • 👀 View registered users
  • ❌ Delete face data anytime
• ⚖️ GDPR Principles
  • ✅ Consent required
  • ✅ Encrypted + pseudonymized with UUID
  • ✅ Full user control (view/delete)
  • ✅ Data minimization
  • ✅ Manual retention
• 🎨 Modern UI
  • Dark theme with ttk
  • Status bar for live feedback
  • Keyboard shortcuts:
    • ⏎ Enter → Register
    • 🔐 Ctrl+L → Login
    • 🗑️ Ctrl+Delete → Delete

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📂 Project Structure

facial-auth/
│── registered_faces/        # 🔑 Encrypted face data (.pkl files)
│── facial_auth.log          # 📝 Log file of actions
│── main.py                  # 🚀 Main program entry (GUI + logic)
│── README.md                # 📘 Documentation

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🛠️ Requirements

• Python 3.8+
• Install dependencies:

pip install opencv-python mediapipe cryptography numpy

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🚀 How to Run

1. Start the app:

python main.py

2. In the GUI:
   • ✍️ Enter your name
   • ✅ Tick consent box
   • 🟢 Register Face → Press c to capture, q to quit camera
   • 🔑 Login with Face → Face the camera directly
   • ❌ Delete Face Data → Enter name + delete
   • 📋 View Registered Users → Show all users

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📝 Logs

All important actions (register, login, delete) are stored in:

facial_auth.log

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⚠️ Disclaimer

This project is for educational purposes only.
It is not production-ready and must not be used for real-world security systems.

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