Build your own IOT applications and monitor data in your app

Focused View

Mubeen Ali

5:08:08

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1. Introduction to Course

1. Introduction to Course.mp4

04:03

2. View Live Sensors Data on Cloud Server.html

3. Course Instructions.mp4

00:53

4. Installations IDEs and Softwares.mp4

05:52

2. Streaming DHT22 and MQ-135 Sensors Data

1.1 1 - Weather sensors (Recreate).rar

1. Introduction to Project.mp4

01:28

2. Creating Circuit Diagram.mp4

05:24

3. Useful Links for DHT22 and MQ-135 sensors.html

4. Reading Sensors Data Part 1.mp4

06:47

5. Reading Sensors Data Part 2.mp4

10:25

6. Reading Sensors Data Part 3.mp4

09:56

7. Reading Sensors Data with Arduino Port in Python Script.mp4

13:26

8. Inserting Arduino Sensors Data in a CSV or Excel File in Python Script.mp4

07:44

9. Introduction to Google Big Query.mp4

13:42

10. Creating Google Big Query API and Database.mp4

10:05

11. Inserting Arduino Sensors Data in Google Big Query Database.mp4

18:26

12. Creating Structure of Plotly Dash Application.mp4

12:04

13. Creating Navbar Part 1.mp4

12:43

14. Creating Navbar Part 2.mp4

08:07

15. Dash Call Back Function.mp4

14:49

16. Creating Card using Dash Html Components and CSS.mp4

11:00

17. Inserting Text Inside the Card.mp4

08:53

18. Create Cards for Displaying Numeric Values.mp4

07:12

19. Retrieve Sensors Data from Google Big Query Database in Plotly Dash Application.mp4

20:25

20. Retrieving Sensors Values on Cards Part 1.mp4

07:28

21. Retrieving Sensors Values on Cards Part 2.mp4

05:02

22. Calculating Daily Hourly Average Temperature.mp4

13:33

23. Creating Line Chart for Daily Hourly Average Temperature.mp4

20:12

24. Creating 2nd Page after Creating 1st Page.mp4

07:28

25. Calculating Total Rows and Current Day Total Rows of Database Part 1.mp4

08:02

26. Calculating Total Rows and Current Day Total Rows of Database Part 2.mp4

09:46

27. Creating Data Table Part 1.mp4

10:56

28. Creating Data Table Part 2.mp4

08:29

29.1 google cloud run command.zip

29. Deploy Python Potly Dash Application on Google Cloud Server.mp4

13:48

Description

IOT applications from scratch with NodeMCU ESP8266, IOT data monitoring apps, Insert Arduino sensor data in database.

What You'll Learn?

Build IOT applications with nodeMCU ESP8266
Connect nodeMCU ESP8266 with Google Firebase database and ThingSpeak cloud server
Create user interface for IOT applications in python programming using the library plotly dash and control the microcontroller from your apps
Importing and reading sensor data in python and saving in csv and excel file
Inserting and retrieving sensors data in Google big query database
Python library plotly dash
Stream sensors data in python plotly dash application in real time
Deploy python plotly dash application on Heroku cloud server and Google cloud server
IOT data monitoring applications

Who is this for?

This course is for those who want to build their own real time data applications and IOT applications.

More details

Description
In this course you will be taught how to create IOT applications from scratch with NodeMCU ESP8266. You will also learn how to control the microcontroller in your apps in Python programming with the library plotly dash. In this course you will also learn how to insert sensor data onto a cloud server using NodeMCU ESP8266. You will also learn how to retrieve it using Python applications and monitor data on your mobile device. In this course you will also learn how to connect microcontrollers to the Google Firebase database, ThingSpeak cloud server and insert data into the Google Big Query database.
You will also learn in this course in the last four sections how to insert sensor data in the database and stream the data in real time in a python application. You will learn here how to create a user interface using the python library plotly dash and deploy the application on a cloud server to view data in real time. I have used DHT22 and MQ-135 sensors to measure temperature, humidity and level of carbon dioxide in the inside room and outside atmosphere. I have used the microcontroller Arduino and generated the data after each 5 seconds and then inserted the same time in the database. And then created the application in python using plotly dash application to retrieve data in this application and stream that data in real time. You will learn step by step how to use this application and how to create multi page and update data automatically over the selected period of time without refreshing the page.
After learning this course, you will be able to create your own application e.g. you can use different gas sensors, smoke sensors in your home to record data and after inserting in the database, you can monitor your house in your mobile and overcome any risks within time by creating your own application.
Who this course is for:
This course is for those who want to build their own real time data applications and IOT applications.

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Focused display

I am passionate about learning Dash. Dash is a python framework that creates beautiful web based data visualization dashboards. We can deploy dash apps on servers and then share them through links. Dash apps are mobile friendly and can be viewed on mobile devices as well as all other devices.

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