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 ## Introduction
 Web server using a Raspberry Pi and DHT22 sensor to graph the humidity and temperature in my apartment over time. The data can be accessed over a web browser.
 
-## Setup
-
-I use Python to access a DHT22 sensor to grab the temperature and humidity data. I also use a web server using Flask, uWSGI, SQLite, and JavaScript/jQuery.
-
-Charts are made with Google Charts and Plotly for more advanced processing.
+Skills I learned during this project:
+-Setup the minimal Raspbian operating system to the RPi, called Minibian
+-Install and use Python, and the Python virtual environment
+-Install and use Flask, a Python-based web micro-framework
+-Install and use uWSGI as the application server for Flask
+-Install and use Nginx light-weight web server
+-Use Skeleton to make the web UI look better
+-Use the RPi GPIOs as digital input and outputs
+-Use a DHT22 humidity and temperature sensor
+-Install and use the SQLite database to store sensor data
+-Add a cron job to store sensor data every so many minutes
+-Use the Google Chart API to create visual representations of the sensor data
+-Use Javascript/JQuery to add interactivity to web pages
+-Use Plotly for graphical analysis of sensor data
 
 ## YouTube