diff --git a/README.md b/README.md
index 72c46fe..6d9ef5a 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,7 @@
 
 This project was developed through the Data Science and Analytics course at the Mannheim University of Applied Sciences. A data science cycle was taught theoretically on the basis of lectures and implemented practically in the project. 
 
+
 ## Analysis of cardiovascular diseases using ECG data
 
 
@@ -15,6 +16,7 @@ This project was developed through the Data Science and Analytics course at the
 - [Acknowledgements](#acknowledgements)
 - [Contact](#contact)
 
+
 ## About
 
 Cardiovascular diseases refer to a group of diseases that affect the heart and blood vessels and represent a significant global health burden. They are a leading cause of morbidity and mortality worldwide, making effective prevention and management of these diseases critical. Physical examinations, blood tests, ECGs, stress or exercise tests, echocardiograms and CT or MRI scans are used to diagnose cardiovascular disease.
@@ -36,7 +38,7 @@ The data set used in this project was divided into four main groups: SB, AFIB, G
 The data provision provides for the following points, which can be taken from the diagram.
 
 
-![Alt-Text](readme_data/flow_diag.png)
+![Alt-Text](readme_data/Projektablauf.drawio.png)
 
 
 ## Getting Started
@@ -69,7 +71,7 @@ This project is licensed under the [MIT License](https://opensource.org/licenses
 We would like to especially thank our instructor, Ms. Jacqueline Franßen, for her enthusiastic support in helping us realize this project.
 
 ## Contact
-- Klara Tabea Bracke 
+- Klara Tabea Bracke (3015256@hs-mannheim.de)
 - Arman Ulusoy (3016148@stud.hs-mannheim.de)
 - Nils Rekus
 - Felix Jan Michael Mucha (felixjanmichael.mucha@stud.hs-mannheim.de)
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