Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45648

An AI-Powered Desktop Voice Assistant for Windows

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45648

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45648

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.

Share this article:

Authors

DDM

Dilkash D. Mukadam1

FMM

Fareeha M. Majgaonkar2

SKK

Swarali K. Khot3

TDG4

Trupti D. Gite 4

GGB

Girish G. Bhide5

Author Services & Downloads

Full Articles

Abstract

This work introduces a Windows-compatible AI assistant that executes tasks via voice commands. Our architecture implements two key AI components: (1) real-time language interpretation (2) adaptive command recognition. This assistant will enable users to perform a range of tasks, such as managing files, opening and closing different applications, searching the information on web, setting reminders, creating a note, opening and managing the files, opening various AI tools, managing the drive, opening the calculator and do some basic calculations and even controlling system settings all through voice commands. The voice assistant leverages advanced speech recognition technology to accurately interpret and process human voice commands. Upon receiving user input, the system dynamically executes requested tasks or retrieves relevant information. Key capabilities include real-time voice-to-text conversion, context-aware natural language understanding, and seamless integration with third-party APIs to extend its functionality. Designed for universal accessibility, the intuitive interface ensures effortless interaction for users of all technical proficiencies. The user interface is designed to be intuitive and user-friendly, providing a seamless experience for both novice and experienced users. By creating a personal desktop assistant that combines convenience, automation, and personalized features, this project aims to enhance users’ productivity and efficiency in their day-to-day computer tasks.

KEYWORDS

Desktop Voice-based Integration Language Voice Assistant Action Response GUI

Cite This Article

Dilkash D. Mukadam1, Fareeha M. Majgaonkar2, Swarali K. Khot3, Trupti D. Gite 4, Girish G. Bhide5, "An AI-Powered Desktop Voice Assistant for Windows," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45648

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

4/23/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...