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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46335

Tejas: Your Personal AI Assistant for Seamless PC Control

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46335

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46335

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

PR

Piyush Raj

PK

Priyanshu Kumar

NKT

Nikhil Kumar Tiwari

D

Divyanshu

HJ

Harshal Jain

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Abstract

Developed for smooth PC control through voice and text, Tejas AI is a sophisticated program integrated with ad- vanced natural language processing that allows users to interact with their systems conversationally. Users can give commands and obtain system information with real-time feedback for better interaction and experience. Tejas AI performs several tasks and provides real-time updates as requested. Its complex architec- ture features a powerful execution engine that utilizes text-to- speech and speech recognition libraries for command processing and communication. The system’s reliability and effectiveness are ensured through rigorous deployment methodologies, real- world scenario testing, unit testing, integration testing, and user acceptability testing. Users of the system are provided streamlined access to their computers, giving consumers greater AI control over their environments, thus proving the use of AI for routine tasks. This paper examines teh AI’s methodology, system architecture, and practical applications to illustrate its significance in intelligent automation systems.

KEYWORDS

Artificial Intelligence (AI) Natural Language Processing (NLP) Robotic process automation (RPA) Memory- info Availability (Minfo

Cite This Article

Piyush Raj, Priyanshu Kumar, Nikhil Kumar Tiwari, Divyanshu, Harshal Jain, "Tejas: Your Personal AI Assistant for Seamless PC Control," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46335

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Publication Date

4/29/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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

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