tidied up formatting

Author: Your Name

content/learning-paths/microcontrollers/yolo-on-himax/_index.md

@@ -3,12 +3,12 @@ title: Run Yolo computer vision model on a Himax microcontroller
 
 minutes_to_complete: 90
 
-who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U85.
+who_is_this_for: This is an introduction topic for beginners on how to run a computervision application on an embedded device from Himax. This example uses an off-the-shelf Himax WiseEye2 module which is based on the Arm Cortex-M55 and Ethos-U55.
 
 learning_objectives: 
-    - Run Yolo model on off-the-shelf hardware that uses the Arm Cortex-M55 and Ethos-U55
-    - Build Himax SDK and generate firmware image file
-    - Update firmware on edge device (Himax WiseEye2)
+    - Run a you-only-look-once (Yolo) model using off-the-shelf hardware based on the Arm Cortex-M55 and Ethos-U55.
+    - Learn how to build the Himax SDK and generate firmware image file.
+    - Learn how to update firmware on edge device (Himax WiseEye2).
 
 prerequisites:
     - Seeed Grove Vision AI V2 Module
@@ -29,6 +29,7 @@ tools_software_languages:
     - Bash
 operatingsystems:
     - Linux
+    - Windows
 
 
 ### FIXED, DO NOT MODIFY

content/learning-paths/microcontrollers/yolo-on-himax/_review.md

@@ -2,38 +2,13 @@
 review:
     - questions:
         question: >
-            PLACEHOLDER QUESTION 1?
+            The Grove Vision AI V2 Module can run Yolov8 model in real time?
         answers:
-            - PLACEHOLDER ANSWER A
-            - PLACEHOLDER ANSWER B
+            - True
+            - False
         correct_answer: 1                    
         explanation: >
-            PLACEHOLDER EXPLANATION 1
-
-    - questions:
-        question: >
-            PLACEHOLDER QUESTION 2?
-        answers:
-            - PLACEHOLDER ANSWER A
-            - PLACEHOLDER ANSWER B
-            - PLACEHOLDER ANSWER C
-            - PLACEHOLDER ANSWER D
-        correct_answer: 4                   
-        explanation: >
-            PLACEHOLDER EXPLANATION 2
-               
-    - questions:
-        question: >
-            PLACEHOLDER QUESTION 3?
-        answers:
-            - PLACEHOLDER ANSWER A
-            - PLACEHOLDER ANSWER B
-            - PLACEHOLDER ANSWER C
-            - PLACEHOLDER ANSWER D
-        correct_answer: 2          
-        explanation: >
-            PLACEHOLDER EXPLANATION 3
-
+            The Grove Vision AI V2 Module can run object detection in real time using the Cortex-M55 and Ethos-U55. 
 
 
 # ================================================================================

content/learning-paths/microcontrollers/yolo-on-himax/how-to-4.md

@@ -13,11 +13,11 @@ Exit the terminal session and connect the module to the PC via your USB-C cable.
 
 ### Step 4.2. Download the Himax AI web toolkit.  
 
-The Himax AI web toolkit enables a browser-based graphical user interface (GUI) where the live camera feed can be displayed. 
+The Himax AI web toolkit enables a browser-based graphical user interface (GUI) for the live camera feed. 
 
 Download the Himax AI Web toolkit by clicking on this [link](https://github.com/HimaxWiseEyePlus/Seeed_Grove_Vision_AI_Module_V2/releases/download/v1.1/Himax_AI_web_toolkit.zip)
 
-Unzip the archived file and double click `index.html.`. This will open the GUI within your default browser.
+Unzip the archived file and double click `index.html`. This will open the GUI within your default browser.
 
 ### Step 4.3. Connect to the Grove Vision AI