Integrating Machine Learning Based Wake Time Prediction into Smart Home Device Automation

Integrating Machine Learning Based Wake Time Prediction into Smart Home Device Automation

Authors

  • Jinson Devis ktu
  • Mrudul A Thakadiyel

DOI:

https://doi.org/10.5281/zenodo.6180322

Keywords:

Machine learning, linear regression, home assistant, wake time prediction

Abstract

A smart home's entire purpose is to make life at
home a little bit easier. This feature has traditionally been
enabled by users manually establishing connections between
devices and actions via automation rules. As a result, humans
have completely or mostly predetermined the intelligence of
these systems. We can use Artificial Intelligence techniques in
this field to try to improve the smartness of Smart Homes to
address this challenge. Automating your daily routine is a
great place to start with smart home technology. This concept
is centered on applying machine learning techniques to
automate smart home devices based on waking time
prediction.

Published

2023-02-23

How to Cite

Jinson Devis, & Mrudul A Thakadiyel. (2023). Integrating Machine Learning Based Wake Time Prediction into Smart Home Device Automation. National Conference on Emerging Computer Applications, 4(1). https://doi.org/10.5281/zenodo.6180322
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