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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19709

AI Jarvis Virtual Assistant

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19709

Volume:

7 |

4 |

Apr 2023

Pages:

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

NA

Nitin Ahire

AS

Allan Serrao

NC

Naitik Churi

JD

Joshua Dias

SK

Sahil Kadam

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Abstract

AI Jarvis is a virtual assistant designed to help users perform various tasks with ease. It utilizes advanced natural language processing and machine learning algorithms to understand user requests and provide accurate and timely responses. The system is equipped with a variety of features, such as voice recognition, text-to-speech conversion, and personalized recommendations based on user preferences. One of the primary goals of AI Jarvis is to enhance productivity by streamlining tasks that would normally take up a lot of time. For instance, it can help users set reminders, schedule appointments, and even manage their emails. Moreover, it can provide useful information on various topics, such as weather, news, and traffic updates, among others. In addition to its practical applications, AI Jarvis also has the potential to improve accessibility for individuals with disabilities or those who have difficulty using traditional interfaces. By incorporating various assistive technologies, such as speech recognition and natural language processing, it can help users overcome barriers and accomplish tasks more efficiently. Overall, AI Jarvis is an innovative virtual assistant that has the potential to revolutionize the way we interact with technology. By providing a personalized, intuitive, and efficient user experience, it can help individuals save time, improve productivity, and enhance their overall quality of life.

KEYWORDS

AI virtual assistant productivity accessibility assistive technologies

Cite This Article

Nitin Ahire, Allan Serrao, Naitik Churi, Joshua Dias, Sahil Kadam, "AI Jarvis Virtual Assistant," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19709

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Publication Date

4/28/2023

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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No funding information available for this research.

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