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90652

Voice Controlled Personal Assistant Using Raspberry Pi

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Last updated: 04 Jan 2025

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Abstract

The purpose of this paper is to illustrate the implementation of a Voice Command System as an intelligent personal assistant (IPA) that can perform numerous tasks or services for an individual. These tasks or services are based on user input, location awareness, and the ability to access information from a variety of online sources (such as weather or traffic conditions, news, stock prices, user schedules, retail prices, … etc.).
Using Raspberry Pi as a main hardware to implement this model which works on the primary input of a user's voice. Using voice as an input to convert into text using a speech to text engine. The text hence produced was used for query processing and fetching relevant information. When the information was fetched, it then be converted to speech using text to speech conversion and the relevant output to the user was given. Additionally, some extra modules were also implemented which worked on the concept of keyword matching. These include telling time, local traffic, travel assistant, events, weather, notification from social applications plus one can ask questions to the system, invoke its machine learning otherwise get it from Wikipedia. Many experiments and results were accomplished and documented.

DOI

10.21608/iugrc.2017.90652

Authors

First Name

Dina

Last Name

Ashraf

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Affiliation

AL-Shorouk Academy, Cairo – Egypt.

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First Name

Ahmed

Last Name

Samir

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Affiliation

AL-Shorouk Academy, Cairo – Egypt.

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First Name

Omer

Last Name

Emad

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Affiliation

AL-Shorouk Academy, Cairo – Egypt.

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First Name

Emad

Last Name

Othman

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S.

Affiliation

Ass. Prof., Senior Member IEEE - Region 8 - AL-Shorouk Academy, Cairo – Egypt.

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Volume

2

Article Issue

Second International Undergraduate Research Conference, IUGRC

Related Issue

13627

Issue Date

2017-07-01

Receive Date

2020-05-19

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2017-07-01

Page Start

86

Page End

86

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https://iugrc.journals.ekb.eg/article_90652.html

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https://iugrc.journals.ekb.eg/service?article_code=90652

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32

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Original Article

Type Code

762

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Journal

Publication Title

The International Undergraduate Research Conference

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https://iugrc.journals.ekb.eg/

MainTitle

Voice Controlled Personal Assistant Using Raspberry Pi

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Article

Created At

22 Jan 2023