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Abstract
This report discusses about a Virtual Personal Assistant (VPA). It discusses the working of an VPA in brief. Here we discuss how data is received from the user and how we process that data to perform the required tasks. The report also discusses the industry leaders of VPA that use Natural Processing Language (NPL) and Deep Learning to process data. It will show what various functions and services are provided by each of those leading VPA’s and how they lack. The report discusses the history and the current advancements in the field of VPA. We also see how the mindset of the people changed over VPA and challenges it faced to succeed. The report also discusses the risks involved in using a VPA and some ways to overcome those risks.