Alokpunj Bagrodia
Published © GPL3+

Learn About Prediction in Machine Learning Using Bolt IoT

Predict the temperature of the room using prediction graph using Bolt IoT platform.

BeginnerFull instructions provided794
Learn About Prediction in Machine Learning Using Bolt IoT

Things used in this project

Hardware components

Bolt WiFi Module
Bolt IoT Bolt WiFi Module
×1
temperture sensor _LM35
×1
Male/Female Jumper Wires
Male/Female Jumper Wires
×1
USB-A to Mini-USB Cable
USB-A to Mini-USB Cable
×1

Software apps and online services

Bolt Cloud
Bolt IoT Bolt Cloud

Story

Read more

Custom parts and enclosures

blank_R7VS0jxpxs.pages

Schematics

The hardware connections

The steps to connect the hardware along with explanations about the parts are given in a word file which you can view by clicking on the the button on the right >>>>

Code

The code to display the prediction graph using Bolt cloud.

JavaScript
Write the following code in the product section of the bolt Cloud after selecting the hardware as A0.Choose the extension as js. as the program is written in JavaScript. Then save the code by clicking on the save icon.Then link the wife module to your product and deploy the configuration to the device .Then collect the data for about an hour and see the prediction by clicking on the view icon.The mul command is the multiplication factor which is used to convert raw sensor value to degree centigrade.
setChartLibrary(‘google-chart’);
setChartTitle(‘Polynomial regression’);
setChartType(‘predictionGraph’);
setAxisName(‘time_stamp’,’temp’);
mul(0.9977);
plotChart(‘time_stamp’,’temp’);

Credits

Alokpunj Bagrodia
1 project • 0 followers
I am a beginner myself
Thanks to Alokpunj’s Bagrodia .

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