diff --git a/project/README.md b/project/README.md
index 86153b51061a641cf2fb2066a8fbcd0fade8b865..ddb63a38c71296de82d23f34c317019ab62654a9 100644
--- a/project/README.md
+++ b/project/README.md
@@ -2,7 +2,7 @@
 
 [[_TOC_]]
 
-## Description & motivation
+## Description & Motivation
 
 This folder contains the work for our final project of the EML Proseminar. The project is about classifying different types of fruit based on their images (:arrow_right: **multi-class image classification**)
 
@@ -165,7 +165,7 @@ CNNs are composed of multiple layers, including convolutional layers, pooling la
 
 The CNN model is expected to outperform the baseline models and the basic classifiers (Naive Bayes, Decision Trees, and Random Forest) due to its higher capacity to learn complex features from images. CNNs are particularly effective for image classification tasks, and we anticipate that our CNN model will achieve the highest accuracy among all the models we've implemented. 
 
-## Experiments and results
+## Experiments & Results
 
 ### Overview