Abstract: The term "virtual assistant" refers to a software agent that can carry out tasks or provide services on behalf of a person. Virtual assistants that may be accessed through online chat are occasionally referred to as "chatbots" in general or in relation to just those. The term "virtual assistant" (VA) refers to computer-simulated settings that can mimic physical presence in both the actual world and made-up universes. In order to construct an intelligent Virtual Personal Assistant (VPA), new technology could be used in a number of ways, with a focus on user-based data. The goal of this project is to provide technical information about virtual assistant technology, including its advantages and disadvantages in many contexts. The project focuses on virtual assistant types and structural elements of a virtual assistant system. This research paper explores the development and application of Personal Desktop Voice Assistants in various domains. The study focuses on the use of natural language processing and machine learning algorithms to enable voice-activated commands, and their ability to learn and adapt to individual user preferences. The paper reviews the current state-of-the-art in Personal Desktop Voice Assistants, including their capabilities, limitations, and potential applications. It examines the impact of these technologies on productivity, efficiency, and accessibility for individuals with disabilities. The research also considers the ethical and privacy implications of Personal Desktop Voice Assistants, including data collection, storage, and usage. It explores the need for transparency, consent, and accountability in the development and deployment of these technologies. The paper presents a case study on the integration of Personal Desktop Voice Assistants in healthcare, highlighting their potential to improve patient outcomes, reduce healthcare costs, and enhance patient satisfaction. Overall, this research paper provides a comprehensive overview of Personal Desktop Voice Assistants, their current state-of-the-art, and future directions. It highlights the potential benefits and challenges associated with the integration of this technology into various domains, and the need for responsible and ethical development and deployment.
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DOI:
10.17148/IJARCCE.2023.12324A
