A Python based Virtual Assistant using Raspberry Pi for Home Automation
| International Journal of Electronics and Communication Engineering |
| © 2018 by SSRG - IJECE Journal |
| Volume 5 Issue 7 |
| Year of Publication : 2018 |
| Authors : Kishore Kumar R, Ms. J. Jayalakshmi and Karthik Prasanna S |
10.14445/23488549/IJECE-V5I7P105
How to Cite?
Kishore Kumar R, Ms. J. Jayalakshmi and Karthik Prasanna S, "A Python based Virtual Assistant using Raspberry Pi for Home Automation," SSRG International Journal of Electronics and Communication Engineering, vol. 5, no. 7, pp. 22-27, 2018. Crossref, https://doi.org/10.14445/23488549/IJECE-V5I7P105
Abstract:
The main aim of the work is to develop an economically effective and performance wise efficient virtual assistant using Raspberry Pi for home automation based on the concepts of Internet of Things, Speech Recognition, Natural Language Processing and Artificial Intelligence. People who are using it can give voice inputs and the device itself responds through voice commands by itself. It can fetch the date, time, weather, play your favourite music and fetch search results from the internet along with controlling the home appliances. NodeMCU chips are used to control the appliances which receives the command from the Raspberry Pi. The Raspberry Pi processes the speech inputs online given by the user through the mic and converts it into text and executes the command. The whole project is put in action through a python script which includes online Speech to Text conversion and Text to Speech conversion codes written. The NodeMCU is coded separately using the Arduino IDE to make it control the appliances and allow it to be accessed through its IP address. The device will respond to the user in a casual manner so that the user has a friendly experience with the device and feels it like his or her own assistant. This device makes the day by day processes easier
Keywords:
Artificial Intelligence, Home Automation System, Natural Language Processing, NodeMCU, Raspberry Pi, Speech Recognition, Speech to Text, Text to Speech.
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