diff --git a/README.md b/README.md
index 40e9c3a..6f95524 100644
--- a/README.md
+++ b/README.md
@@ -114,14 +114,16 @@ Through this process, Emma was able to leverage our project to generate meaningf
 
 ## Progress
 - **Data was searched and found at : (https://doi.org/10.13026/wgex-er52, last visit: 15.05.2024)**
-- **[Data was cleaned](#data-cleaning)**
-- **[Demographic data was plotted](#demographic-plots)**
-- **[Hypotheses put forward](#hypotheses)**
-- **[Noise reduction](#noise-reduction)**
-- **[Features](#features)**
-- **[ML-models](#ml-models)**
-- **[Cluster analysis](#cluster-analysis)**
-- **[Legal basis](#legal-basis)
+- **[Data was cleaned](#data-cleaning)** (version 12.06)
+- **[Demographic data was plotted](#demographic-plots)** (version 12.06)
+- **[Hypotheses put forward](#hypotheses)** (version 12.06 & 03.07)
+- **[Noise reduction](#noise-reduction)** (version 12.06)
+- **[Features](#features)**(version 12.06)
+- **[ML-models](#ml-models)** (version 12.06 & 03.07)
+- **[Cluster analysis](#cluster-analysis)** (version 03.07)
+- **[Legal basis](#legal-basis)** (version 03.07)
+- **[Conclusion](#conclusion)** (version 03.07)
+- **[Outlook](#outlook)** (version 03.07)
 
 
 ### Data cleaning 
@@ -205,6 +207,7 @@ With those Classifiers, the hypothesis can be proven, that a classifier is able
 
 ### Noise reduction 
 (version 12.06)
+
 Noise suppression was performed on the existing ECG data. A three-stage noise reduction was performed to reduce the noise in the ECG signals. First, a Butterworth filter was applied to the signals to remove the high frequency noise. Then a Loess filter was applied to the signals to remove the low frequency noise. Finally, a non-local-means filter was applied to the signals to remove the remaining noise. For noise reduction, the built-in noise reduction function from NeuroKit2 `ecg_clean` was utilized for all data due to considerations of time performance.
 
 How the noise reduction was performed in detail can be seen in the following notebook: [noise_reduction.ipynb](notebooks/noise_reduction.ipynb)
@@ -255,7 +258,7 @@ For machine learning, the initial step involved tailoring the features for the m
 
 - Improvement of diagnostics and treatment possible through predictive modeling
 
-## Outlook into the future 
+## Outlook
 (03.07)
 -  In der Zukunft weitere Modelle anwenden und verbessern
 -