🔍 Data Screener & Secure QR Code Generator

This project is a comprehensive solution designed for secure product data screening, QR code generation with encryption, and subsequent decryption — all built using Python and Tkinter, with support from PIL, cryptography, and qrcode libraries.

It includes:

• 📋 Data Screener GUI for structured data entry and validation

• 🔐 Encrypted QR Generator using Fernet keys

• 🧩 Decryption Algorithm to read encrypted QR codes

• 🖼️ Optional Visual Enhancements like dotted patterns and background layers

💻 Features

User-Friendly Interface: A Tkinter-based GUI to input personal and product-related metadata (name, factory ID, QR size, etc.)

Flexible QR Options: Choose between QR codes with background pattern or simple QR codes on a plain white background

Encrypted QR Generation: Encrypts user-defined fields and saves the result as a secure QR image

Decryption Script: Recovers the original information from the encrypted QR

Stylised QR Presentation:

• Steganographic overlapping and compressed number bars printed on the right of each QR

• Visual patterns overlaid to deter unauthorised scanning/copying

🗂️ Folder Structure & File Format

```Encrypted-QR-generator_with_Decryption-Algorithm/
│
├── Data_Screener.py             # GUI interface for data collection
├── Encrypted_QR_Generator.py    # Script to generate encrypted QR codes
├── Decryption_Algorithm.py      # Script to decode encrypted QR images
│
├── keys/
│   └── encryption_key.key       # Fernet symmetric encryption key
│
├── Output/
│   └── dataQR.xlsx              # Excel sheet storing generated input metadata from GUI
|   └── Encrypted_QRs/           # Stores all generated QR images using Encrypted_QR_Generator.py
│       └── ID.png               # Named using row-based identifier (e.g., 0001.png)
│   └── Decrypted_Row_Info.xlsx  # Excel sheet storing output for decrypted QRs using Decryption_Algorithm.py
|
├── Row_Info.json                # Metadata output from Encrypted_QR_Generator.py later used for decryption
|
├── Image/
│   └── background.jpg           # Optional image used for QR background
|   └── License Free.txt         # License of the free image used for demo
|
|
└── README.md                    # Project description and documentation```

📁 File Format Summary

dataQR.xlsx: Excel file storing each row of metadata inputs.

Fields: First Name, Last Name, Title, Factory, Product ID, Registration Status, Other, QR Option, QR Size

QR Images:

• File Name: RowIndex.png

• Location: Output/Encrypted_QRs/

• Order: Saved in sequence based on row number in Output/dataQR.xlsx

• Design: Depends on QR Option selected:

• "With Background" → Gradient + dotted overlay

• "Without Background" → Plain white + sequence line, with visual dots retained

🛠️ Tech Stack

• Python 3.8+

• tkinter – for the GUI

• Pillow – for image processing

• qrcode – QR code generation

• cryptography – for encryption/decryption

• openpyxl – for Excel file handling

🔐 Security Note

The encryption uses Fernet (symmetric AES-based encryption). Only users with the correct .key file can decrypt and read the QR content. Do not share the encryption_key.key publicly.

🧪 Sample Output & QR Examples

To help users understand the output structure and test the functionalities, the repository includes pre-generated sample data:

• ✅ All rows of metadata stored in Output/dataQR.xlsx

• 🖼️ Corresponding QR images saved under folder Output/Encrypted_QRs Each file is named with a unique identifier (e.g., 0107.png, 1106.png) and demonstrates variations like:

  • Encrypted content

  • With or without background

  • Stylised dotted overlay

  • Overlapping number sequences on the right

These examples can be used as a reference to verify script behaviour or adapt for integration with your own datasets.

Commercial Usage

Thank you for your interest in this project!

This repository is licensed under the GNU General Public License v3.0 (GPL-3.0), which permits free use, modification, and distribution for personal, academic, and open-source purposes.

If you or your organisation are considering commercial use of these original scripts & utilities - such as integration into proprietary products, commercial redistribution, or use in a commercial service - I kindly request that you review the COMMERCIAL_USE.md file for information on this.

Thank you for supporting ethical software usage and open-source sustainability!