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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62258

Voice Control AI Robot-Personal Assiatant

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62258

Volume:

10 |

4 |

April 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

Mr. Prajjwal Chougule

Mr. Prajjwal Chougule

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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MYP

Mr. Yuvraj Powar

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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MMM

Ms. Manali Moture

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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MSK

Ms. Snehal Kamble

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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Mentors

PMIMT

Prof. Mr. Irfan M. Trasgar

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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Abstract

This paper presents a Voice-Controlled AI Assistant that enables users to interact with a computer using simple voice commands. The system captures speech through a microphone, converts it into text using speech recognition, and processes it with natural language techniques to understand user intent. Based on the command, it performs tasks such as opening applications, searching information, and executing basic operations. The assistant is developed using Python and relevant libraries, ensuring flexibility and ease of use. The system demonstrates reliable performance with quick responses under normal conditions, making human-computer interaction more efficient and user-friendly while reducing dependence on traditional input devices.

KEYWORDS

Voice Control

Cite This Article

Mr. Prajjwal Chougule, Mr. Yuvraj Powar, Ms. Manali Moture, Ms. Snehal Kamble, Prof. Mr. Irfan M. Trasgar, "Voice Control AI Robot-Personal Assiatant," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-4, April 2026.

Full Article/Conclusion

The project has created an AI personal assistant robot powered by a voice command interface that operates with the use of the Raspberry Pi 4 Model B. In addition, the ability to respond to voice commands, along with the ability to move forwards or backwards, left or right, and to stop, is a key feature of this device. The inclusion of facial detection technology adds a basic ability for the robot to recognize faces.

References

[1] L. R. Rabiner and B. H. Juang, Fundamentals of Speech Recognition. Prentice Hall, 1993. doi: 10.1109/5.18626. [2] D. Jurafsky and J. H. Martin, Speech and Language Processing, 2nd ed. Pearson, 2009. doi: 10.1017/CBO9780511809078. [3] T. N. Sainath and C. Parada, “Convolutional neural networks for small-footprint keyword spotting,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, pp. 1478–1482. doi: 10.1109/ICASSP.2015.7178195. [4] A. Graves, A. Mohamed, and G. Hinton, “Speech recognition with deep recurrent neural networks,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, pp. 6645–6649. doi: 10.1109/ICASSP.2013.6638947.

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Publication Date

5/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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