Volume 2, Issue 1, March 2017, Pages: 26-29
Received: Oct. 25, 2016;
Accepted: Mar. 7, 2017;
Published: Mar. 27, 2017
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Prashant Gadakh, Department of Computer Engineering, International Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra
Priyanka Borole, Department of Computer Engineering, International Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra
Prajakta Chatte, Department of Computer Engineering, International Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra
Shruti Juneja, Department of Computer Engineering, International Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra
Kiran Khanekar, Department of Computer Engineering, International Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra
Today, home automation is playing a vital role in our life. Home automation entitles us to manage and control the household appliance like the tube light, fan, motor, etc. It reduces the human intervention thereby using the energy efficiently and saves the time. The sole aim of this technology is to automate the appliance around us which enables us to control them and helps in warning us during critical situations. It facilitates the communication between many real world objects by collaborating with various technologies and is an emerging novel paradigm. The integration of IoT and cloud computing enables us to process and store the enormous data that is generated by the heterogeneous devices. The main aim of this project is to monitor the appliances with the help of low cost sensors. In case any problem persists with the same then a message/mail would be given to the nearest technician/electrician and to the client. Using the data mining algorithm, we can select the nearest technician for the repairing of the knackered household appliance.
I-Home: An Intelligent Home Automation Using IoT and Data Mining, Engineering Science.
Vol. 2, No. 1,
2017, pp. 26-29.
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