diff --git a/README.md b/README.md
index 7dda3a3..c1ace8f 100644
--- a/README.md
+++ b/README.md
@@ -86,7 +86,7 @@ pip install -r requirements.txt
 python jogging_dashboard_browser_app.py
 ```
 
-Then open your browser and go to:  
+Then open your browser and go to:
 [http://127.0.0.1:8051](http://127.0.0.1:8051)
 
 Or as Gui-Version
@@ -99,20 +99,20 @@ python jogging_dashboard_gui_app.py
 
 ## Uploading Your GPX File
 
-1. Export your activity (e.g., from Strava, Garmin, etc.) as a `.gpx` or `.fit` file  
-2. Place the file into the `gpx_files/` or `fit_files/` directory  
+1. Export your activity (e.g., from Strava, Garmin, etc.) as a `.gpx` or `.fit` file
+2. Place the file into the `gpx_files/` or `fit_files/` directory
 3. Select it via the dropdown in the dashboard
 
 ---
 
 ## Tech Stack
 
-- **Dash** (by Plotly) for building the UI and graphs  
-- **Pandas** for data wrangling  
-- **Plotly Graph Objects & Express** for advanced visuals  
+- **Dash** (by Plotly) for building the UI and graphs
+- **Pandas** for data wrangling
+- **Plotly Graph Objects & Express** for advanced visuals
 - **Scipy** for smoothing the data lines
-- **GPXPy** for parsing `.gpx` files  
-- **Numpy** for vectorized math and smoothing  
+- **GPXPy** for parsing `.gpx` files
+- **Numpy** for vectorized math and smoothing
 - **FitParse** for  parsing `.fit` files
 
 ---
@@ -126,8 +126,8 @@ You can test the dashboard by either placing any valid `.gpx` file in the `gpx_f
 ## To Do / Ideas
 
 - [X] Plotting heart rate data - **if** FIT file choosen.
-- [ ] Export as PDF report  
-- [ ] Multi-run comparison  
+- [ ] Export as PDF report
+- [ ] Multi-run comparison
 
 ---
 
@@ -139,5 +139,5 @@ This project is open source under the [MIT License](LICENSE).
 
 ## Feedback / Contributions
 
-Feel free to open issues or pull requests!  
+Feel free to open issues or pull requests!
 If you enjoy this project, a ⭐️ star is always appreciated.