From a6fca9cbd0f1201b6a0f1a78a9393a6acbf11df8 Mon Sep 17 00:00:00 2001
From: Sirajeddine Ben Zinab <benzinab@uni-bremen.de>
Date: Fri, 3 Feb 2023 16:52:34 +0100
Subject: [PATCH] update description

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0cacc01..663e8de 100644
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 # Synthetic Citizen Data Generator
 
-This python project generates and visualizes synthetic datasets of citizens based on actions obtained from the Chinese Credit System and their likelihood (based on German statistics).
+This tool is developed under the supervision of Uni Bremen as part of the "IT-Management and Data Science" course. The tool is designed to generate and visualize synthetic datasets for the Chinese Credit System as implemented in Rongcheng city. The tool uses the criteria and subcategories in the Chinese credit system to create simulated data, which can be used for research, testing, or training machine learning algorithms. The datasets generated by this tool are based on the implementation of the Chinese credit system in Rongcheng city and reflect its unique characteristics. 
 
 ## Project Structure
 The project consists of the following structure:
-- 
GitLab