HOME AUTOMATION USING VIRTUAL ASSISTANCE

Laxmikant B. Kalyani; Yash V. Jadhav; Vivek M. Nikam; Sujit S. Durke; 5Zaid F. Shaikh; Prof. S. S. Kumbhar

doi:10.17605/OSF.IO/F9K5G

Authors

Laxmikant B. Kalyani Student, Computer Science and Engineering Department,A.G. Patil Polytechnic Institute, Solapur
Yash V. Jadhav Student, Computer Science and Engineering Department,A.G. Patil Polytechnic Institute, Solapur
Vivek M. Nikam Student, Computer Science and Engineering Department,A.G. Patil Polytechnic Institute, Solapur
Sujit S. Durke Student, Computer Science and Engineering Department,A.G. Patil Polytechnic Institute, Solapur
Zaid F. Shaikh Student, Computer Science and Engineering Department,A.G. Patil Polytechnic Institute, Solapur
Prof. S. S. Kumbhar Project Guide, Dept. Of Computer Engineering, A. G. Patil Polytechnic College, Maharashtra, India

DOI:

https://doi.org/10.17605/OSF.IO/F9K5G

Keywords:

Machine Learning, Firebase server, MySQL, Genetic Mean Algorithm

Abstract

There are so many monitoring systems available in market. But this controller-based system has one limitation; the sensor detection is real time and not predetermined that means in summer season the cooling system on only when user interfere either by physically switching the system or by some wireless means (like Android App) therefore we proposed machine learning (ML) technique to predetermine some repetitive activities. Data of the person’s activities (like when he when needs to switch on different appliances) is stored in MySQL as datasets and this data is used as input for the Geometric Mean algorithm. User control Appliances by means of Android App interfaced with Node MCU via firebase server.

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