Machine Learning

Data Cleaning

First of all we merge all the data after extracting the NewData.zip file and creating data files for 'Stopper, Wall and Wall2'

The different files in the seperate folder Stopper, Wall, Wall2 are depending upon the distance like 60cm, 70cm,.... 300cm

Data Analysis

After getting the data, we need to apply FFT and cut it with the frequency ranges 30MHz to 500MHz so that the data is according to the requirement(as the device which we collect functions at 40Mhz)

Applying AI

We train the MLP with data frame Stopper and Wall using the same distance data.

And for prediction we may use Stopper or Wall files from different distances.

Requirments

The packages required are

• pandas
• glob
• numpy
• matplotlib
• pyQt5
• sklearn