ISSN: 2265-6294

Designing Smart Virtual Assistants for Cloud Apps: Utilizing Advanced NLP and AI

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Venkata Phanindra Peta, Sai Krishna Reddy Khambam, Venkata Praveen Kumar KaluvaKuri

Abstract

Recently, there has been a notable inclination toward utilizing wise virtual helpers in undertakings and other cloud applications due to tremendous progress in NLP and AI. Here, the project's primary directive is to create an intelligent and reliable virtual assistant to effectively manage tasks and adequately respond to inquiries within the cloud environment. The virtual assistant has been developed by employing the most advanced NLP methods and AI toolkits to analyze linear types of commands, and it is valuable for real-time applications. More specifically, the virtual assistant's effectiveness, truth, and dependability were tested by generating an enormous number of simulation reports and conducting real-world scenario tests. The results suggest the potential for future development in task automation and user communication using cloud applications. This research also discusses the innovation development that integrates virtual assistants with cloud platforms and relates technical issues solved during innovation development. As with any emerging field of computing technology, the project expands the understanding of potential applications that a cloud-based model with an AI component may possess and opens the doors for further development of similar applications.

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