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AEVA – Voice Assistant

The Artificially Engineered Virtual Assistant or “AEVA” is a form of artificial intelligence programmed to virtually assist users in terms of general activity, navigating through their devices, and easing accessibility through installed external programs

The Artificially Engineered Virtual Assistant or “AEVA” is a form of artificial intelligence programmed to virtually assist users in terms of general activity, navigating through their devices, and easing accessibility through installed external programs

AEVA – Voice Assistant

by Sanny Tanady
AEVA – Voice Assistant
AEVA – Voice Assistant
AEVA – Voice Assistant

What is it about?

The Artificially Engineered Virtual Assistant or “AEVA” is a form of artificial intelligence programmed to virtually assist users in terms of general activity, navigating through their devices, and easing accessibility through installed external programs. With a range of commands available in the built-in library, users are able to interact with the AI through voice recognition that is derived upon Natural Language Input and Natural Language Processing – NLI and NLP semantics. AEVA’s responses are mainly constructed through Machine Learning algorithms that process the user’s command obtained from NLP to output the most suitable response for the convenience of clients and clientele.

AEVA – Voice Assistant

App Details

Version
1.0
Rating
NA
Size
66Mb
Genre
Utilities Productivity
Last updated
January 13, 2022
Release date
January 13, 2022
More info

App Screenshots

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App Store Description

The Artificially Engineered Virtual Assistant or “AEVA” is a form of artificial intelligence programmed to virtually assist users in terms of general activity, navigating through their devices, and easing accessibility through installed external programs. With a range of commands available in the built-in library, users are able to interact with the AI through voice recognition that is derived upon Natural Language Input and Natural Language Processing – NLI and NLP semantics. AEVA’s responses are mainly constructed through Machine Learning algorithms that process the user’s command obtained from NLP to output the most suitable response for the convenience of clients and clientele.

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