Update README.md

README.md

@@ -47,7 +47,7 @@ This project is deeply centered around predicting the facial landmarks of a give
 <img src="images/facial-landmarks-68.jpg" width=500 height=190/>
 </div>
 
-Using these predicted landmarks of the face, we can build appropriate features that will further allow us to detect certain actions, like using the eye-aspect-ratio (more on this below) to detect a blink or a wink, using the mouth-aspect-ratio to detect a yawn etc or maybe even a pout. In this project, these actions are programmed as triggers to control the mouse cursor. [PyAutoGUI](http://pyautogui.readthedocs.io) library was used to control the mouse cursor. 
+Using these predicted landmarks of the face, we can build appropriate features that will further allow us to detect certain actions, like using the eye-aspect-ratio (more on this below) to detect a blink or a wink, using the mouth-aspect-ratio to detect a yawn etc. or maybe even a pout. In this project, these actions are programmed as triggers to control the mouse cursor. [PyAutoGUI](http://pyautogui.readthedocs.io) library was used to control the mouse cursor. 
 
 ### Eye-Aspect-Ratio (EAR)
 You will see that Eye-Aspect-Ratio [[1](#references)] is the simplest and the most elegant feature that takes good advantage of the facial landmarks. EAR helps us in detecting blinks [[3](#references)] and winks etc.  
@@ -101,4 +101,4 @@ Note: The license for the iBUG 300-W dataset excludes commercial use. So you sho
 
 - **[7]**. Adrian Rosebrock. *Imutils*. [https://github.com/jrosebr1/imutils](https://github.com/jrosebr1/imutils).
 
-- **[8]**. Akshay Chandra Lagandula. *Mouse Cursor Control Using Facial Movements*. [https://towardsdatascience.com/c16b0494a971](https://towardsdatascience.com/c16b0494a971).
+- **[8]**. Akshay Chandra Lagandula. *Mouse Cursor Control Using Facial Movements*. [https://towardsdatascience.com/c16b0494a971](https://towardsdatascience.com/c16b0494a971).