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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51621

Automated Personal Voice Based Assistant by Using Python

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM51621

Volume:

9 |

7 |

Jul 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM51621

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

CBR

CHALLA BHUPATHI RAJU

MBNB

M. BALA NAGA BHUSHANAMU

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Abstract

In today’s digital age, voice assistants have become an integral component of human-computer interaction, enabling users to interact with smartphones, tablets, and smart devices in a seamless, hands-free manner. These AI-powered assistants—such as Google Assistant, Amazon Alexa, and Apple Siri—have revolutionized the way individuals manage their daily routines by offering functionalities like sending messages, checking the weather, setting reminders, controlling IoT devices, and retrieving online information through natural voice commands. However, one of the significant limitations of these mainstream assistants is their reliance on continuous internet connectivity and cloud-based artificial intelligence processing. As a result, their usability significantly diminishes in environments with limited or no internet access, making them less suitable for rural, remote, or offline use cases.

KEYWORDS

Artificial Intelligence Speech Recogintion Text-To-Speech Java XML Android Studio Natural Language Processing (NLP) Techniques: Tokenisation Normalization Pattern Matching Keyword Matching Rule based Decision Making.

Cite This Article

CHALLA BHUPATHI RAJU, M. BALA NAGA BHUSHANAMU, "Automated Personal Voice Based Assistant by Using Python," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 7, Jul 2025. https://doi.org/10.55041/IJSREM51621

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Publication Date

7/29/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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