diff --git a/README.md b/README.md
index 296f4cdd9f007aaccf8df8c4f5b75520b74d54b4..290f1c64528d580bcdfaa53775852028fe5dacb3 100644
--- a/README.md
+++ b/README.md
@@ -53,6 +53,46 @@ The scope of this thesis presents the development of an attendance tracker syste
 - SD Card
 - 3D printed casing
 
+### GUI Layout
+<img src="./Results/AutologgerGUI.jpg" alt="drawing" width="500"/>
+
+### GUI 
+The graphical user interface has been built using a library called Tkinter. The following images showcase all the 12 windows present in the software.
+
+|Welcome Window|Main Window|
+|---|---|
+<img src="./Results/01_Welcome.png" alt="drawing" width="500" height="250"/> |<img src="./Results/02_MainPage.png" alt="drawing" width="500" height="250"/>|
+|About Software Window|User Login Window|
+<img src="./Results/03_About.png" alt="drawing" width="500" height="250"/> |<img src="./Results/login.png" alt="drawing" width="500" height="250"/>|
+|Active Users Window|Admin Password Window|
+<img src="./Results/09(2)_Active.png" alt="drawing" width="500" height="250"/> |<img src="./Results/04(1)_AdminPass.png" alt="drawing" width="500" height="250"/>|
+|System Preferences Window|Create User(Registration form) Window|
+<img src="./Results/06_Settings.png" alt="drawing" width="500" height="250"/> |<img src="./Results/08(1)_Create.png" alt="drawing" width="500" height="250"/>|
+|Create User(Snap Picture) Window|Create User(Confirmation) Window|
+<img src="./Results/08(3)_Create.png" alt="drawing" width="500" height="250"/> |<img src="./Results/08(4)_Create.png" alt="drawing" width="500" height="250"/>|
+|Delete/Archive User Window|Autologger Parameters Window|
+<img src="./Results/07(1)_Delete.png" alt="drawing" width="500" height="250"/> |<img src="./Results/05_AutologParams.png" alt="drawing" width="500" height="250"/>|
+
+## Optimisation Results
+The optimization results have been carried out for 2 hardwares:
+- Macbook Pro 15-inch, 2017 model
+- Raspberry Pi model 4B (4GB)
+
+Models used before optimisation:
+- Face Detection and Recognition: face-recognition library.
+- Hand Gesture Recognition: BlazePalm and BlazeHand from MediaPipe.
+
+Models used after optimisation:
+- Face detection: BlazeFace from Google implemented via MediaPipe
+- Face Recognition: face-recognition library.
+- Hand Gesture Recognition: BlazePalm and BlazeHand im[lemented via MediaPipe.
+
+
+|Performance Analysis Results|Time Analysis Results|
+|---|---|
+|<img src="./Results/image13.png" alt="drawing" width="500" height="250"/> |<img src="./Results/image14.png" alt="drawing" width="500" height="250"/>|
+
+
 ## Results
 
 ### User Login + Active Users