Demo of Human activity recognition using machine learning and smartphone

This is a demo of a solution I made for my bachelor thesis.
Complete solution consists of 2 smartphone apps, model making script and a data base, which consists of 5 classes - Walking, Walking Upstairs, Walking Downstairs, Standing and Limping.
Soon a public Git link will be provided for those who would like to try it out or continue working from the point I was.
Video edited by designer Kristers Linde

[naumanakram]

amazing work mate, please share the git link thanks!

[SoorajRS-hz]

can you please provide the source code for this project

[shubhammapara]

Can you share the git link.. i was interested to work

[frotribe]

What tech stack did you use for this project.

[avastone]

can you tell about the model and its real time working? thank you!

[maazkahn]

Hello, are you able to run this app in the background or Foreground?

[govindkatyura]

I have a weird case where i have to predict if someone opening a sealed packed box, and i am not sure it is possible or not

[sambitacharya]

On which platform and apps u have written the codes

[AkashKumar-ejlf]

Which app is used in this human activity recognition system