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 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.
 
 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
+- 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