Metadata-Version: 2.1
Name: Pdf-check-fraud
Version: 0.0.1
Summary: Program checks simularity of pdf files to detect fraud. PDF files are converted to Text files They are compared and the results are writen to a csv file
Home-page: https://github.com/jansloopes/github/project
Author: J.f. Hellings
Author-email: jan@famhellings.nl
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: license.txt
Requires-Dist: autopep8 (>=2.0.1)
Requires-Dist: certifi (>=2022.12.7)
Requires-Dist: charset-normalizer (>=3.1.0)
Requires-Dist: cli-exit-tools (>=1.2.3.2)
Requires-Dist: click (>=8.1.3)
Requires-Dist: colorama (>=0.4.6)
Requires-Dist: distlib (>=0.3.6)
Requires-Dist: filelock (>=3.10.1)
Requires-Dist: idna (>=3.4)
Requires-Dist: joblib (>=1.2.0)
Requires-Dist: lib-detect-testenv (>=2.0.3)
Requires-Dist: numpy (>=1.24.1)
Requires-Dist: pathlib3x (>=2.0.2.1)
Requires-Dist: platformdirs (>=3.1.1)
Requires-Dist: psgdemos (>=1.12.1)
Requires-Dist: pycodestyle (>=2.10.0)
Requires-Dist: pycryptodome (>=3.17)
Requires-Dist: pypdf (>=3.4.0)
Requires-Dist: PyPDF2 (>=3.0.1)
Requires-Dist: pysimilar (>=0.5)
Requires-Dist: PySimpleGUI (>=4.60.4)
Requires-Dist: requests (>=2.28.2)
Requires-Dist: scikit-learn (>=1.2.1)
Requires-Dist: scipy (>=1.10.0)
Requires-Dist: threadpoolctl (>=3.1.0)
Requires-Dist: urllib3 (>=1.26.15)
Requires-Dist: virtualenv (>=20.21.0)


### Table of Contents

1. [Installation](#installation)
3. [File Descriptions](#files)
2. [Using Process](#motivation)
4. [Author](#licensing)

# 1. Installation <a name="installation"></a>

To install via pip , use the command below, it will automatically install all the liberary used in this Repo.
<em>
		pip install Pdf-check-fraud
</em>       
        
# 2. File Descriptions <a name="files"></a>

Links to the corresponding codes, which are stored in the [Code]() folder.

# 3. PDF comparison to detect fraud <a name="motivation"></a>
 Program checks simularity of pdf files to detect fraud. Program provides the user with an interface in which s/he can  enter data for the directory where the PDF files are located and the location of the converted text files. These text files are compared and the results are writen to a csv file.
 To start the program:
<em>
 python Pdf_check_run.py
</em>
      
# 5. Author <a name="licensing"></a>
	Copyright (c) 2023 J.f. Hellings
