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Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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A Review on Virtual Personal AI Assistants

Authors: Akhil Cherian Jacob; Harigovind M; M Nikhil; Sharon Geo Reji; Jyothis Joseph;

A Review on Virtual Personal AI Assistants

Abstract

In the era of rapidly evolving technology, the advent of personal assistants has revolutionized human-computer interaction. These smart companions, also known as AI assistants or digital aides, use the power of natural language processing to comprehend and execute user requests seamlessly. Python, renowned for its versatility and simplicity, emerges as a prime candidate for crafting such assistants due to its robustness. This paper presents an innovative virtual personal AI desktop assistant developed using Python. Capitalizing on the SpeechRecognition API, it adeptly converts speech into text, enabling effortless communication with the user. The system’s functionalities extend far beyond mere speech recognition; it streamlines everyday activities with remarkable efficiency. From composing emails and conducting web searches to playing music and launching preferred development environments, the system empowers users with a single voice command. Our exploration into creating a virtual AI personal assistant underscores the profound impact of AI on human productivity and comfort. In today’s landscape, where technological advancements abound, AI-driven solutions exemplify the convergence of efficacy and seamlessness. By alleviating the burdens of mundane tasks, the VPA epitomizes the transformative potential of AI, ushering in an era where human effort is augmented, and time is optimized.

Keywords

Artificial Intelligence, Natural Language Processing, Automatic Speech Recognition, Virtual Personal Assistant

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green