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Article . 2023
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Article . 2023
License: CC BY
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Python Integrated Virtual AI Assistant

Authors: Dhote, Dipanshu; Bhise, Shreyash; Barde, Prathmesh; Bageshwar, Sandesh; Katekhaye, Rutuja; Deshmukh, Dr. A. B.;

Python Integrated Virtual AI Assistant

Abstract

The advent of virtual assistant technology has revolutionized the way individuals interact with digital devices, providing a seamless and intelligent interface for various tasks and services. This abstract presents an overview of a virtual assistant project aimed at developing an intelligent and versatile virtual assistant capable of enhancing productivity and providing personalized assistance in today's fast-paced digital era. The virtual assistant project focuses on leveraging state-of-the-art artificial intelligence (AI) techniques, including natural language processing, machine learning, and deep learning, to create a sophisticated virtual assistant system. The primary objective is to design an assistant that understands user commands, interprets queries, and executes tasks effectively and efficiently. The virtual assistant will be equipped with advanced voice recognition capabilities to facilitate hands-free interactions, allowing users to communicate with the system using spoken commands. It will employ robust natural language understanding algorithms to comprehend user input, extract relevant information, and generate accurate and contextually appropriate responses. The project will also integrate advanced machine learning models to enable the virtual assistant to learn from user interactions, adapt to individual preferences, and continuously improve its performance.

Keywords

AI, Smart Assistant, etc.

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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!
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