Voice Enabled Home Automation Using Amazon Echo

Authors

  • Prof. Kishor V. Ugale  Computer Science and Engineering. Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India
  • Surendra V. Salve  Computer Science and Engineering. Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India
  • Mohan J. Girhe  Computer Science and Engineering. Anuradha Engineering College, Sant Gadgebaba Amravati, Chikhli, India

Keywords:

Amazon Echo, Alexa , automation, non-smart, Internet of Things (IoT) , raspberry pi, relay

Abstract

In recent years, the field of Internet of Things (IoT) has seen significant investments made by the research community and the industry. Specifically, the Smart Home space has been a prime focus with the introduction of devices such as Amazon Echo, Google Home, Samsung Smart Things among others. The growth of an industry results in innovative, economic, and advanced solutions. In this paper, we focus on making non-smart homes smart and how to build a robust, cost-effective system that can be widely used. We power our system using Amazon Echo, Amazon

References

  1. https://ifttt.com/
  2. https://www.smartthings.com/
  3. https://my-digitallife.att.com/learn/explore- home-automation
  4. https://madeby.google.com/home/ [5]
  5. https://www.raspberrypi.org/products/raspberry-pi- 3-model-b/
  6. https://developer.amazon.com/alexa-skills-kit
  7. https://firebase.google.com/
  8. https://aws.amazon.com/lambda/
  9. https://aws.amazon.com/ec2/

International Journal of Scientific Research in Science and Technology

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Published

2020-02-17

Issue

Volume 5, Issue 6, January-February-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Kishor V. Ugale, Surendra V. Salve, Mohan J. Girhe, " Voice Enabled Home Automation Using Amazon Echo, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 6, pp.78-81, January-February-2020.