References .md

README.md

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 #  Machine Learning for Action Detection
 
+#### [Jorge Muñoz Zanón](https://jmuozan.github.io/mdef-website/)
+
 As part of my thesis project on Future Learning focused on Arts and Crafts I decided to prototype for third MicroChallenge a machine learning model that can learn certain actions and tell you when you're doing them right or wrong. With a live camera prediction you'll be able to know if the movement is being done in the correct way.
 
+
+
 ## What files are available on the repo?
 
 In this repository you'll find:
@@ -20,5 +24,15 @@ If you want to use ML to predict sequences but this structure doesn't fit to you
 - [Nicholas Renotte: AI Learns to Do Deadlifts](https://www.youtube.com/watch?v=H7cGq0xIHbc&list=PLtjLv8XIYA2GPl5Pju2eebqfV9oOlB675)
 - [Nicholas Renotte: Training my deadlift bot with MediaPipe and OpenCV](https://www.youtube.com/watch?v=PGsAsuwBdw0&list=PLtjLv8XIYA2GPl5Pju2eebqfV9oOlB675&index=2)
 
+## How does it work?
+
+In this part I'm going to walk you through the different steps followed by my code. Also I will try to explain what errors you might get while trying to execute the code and how to solve them. (Also, if you find any error that is not solved here don't doubt on contacting me so I can update the documentation)
+
+### 1st step: Get your data
+
+To be able to detect sequences the first part will be to know where to extract them from. For that you'll need a video. I highly recommend a high quality video where the light is good so the hands and body recognition will work best.
+
+The first part of the code will consist on the collection of your data. The code allows you to record your own video wit your laptop webcam (or any other camera connected to your laptop) or if you already have a video 
+