Voice-Based Intelligent Virtual Assistant

Abstract

The Virtual Personal Assistant (VPA) is one of artificial intelligence's greatest breakthroughs, giving people a new method to conduct their work with the help of a machine. This article gives a quick rundown of the approaches and concepts used to construct a Virtual Personal Assistant (VPA) and then use it in a variety of software applications. Speech Recognition Systems, also known as Automatic Speech Recognition (ASR), play a crucial part in virtual assistants, allowing users to converse with the system. We want to make a “WAANI” which is a virtual personal assistant in this project, and it will have vital characteristics that will help you satisfy your demands. We'll make it as entertaining as possible, much like previous VPAs, with user experience in mind. Several Natural Language Understanding (NLU) technologies, like International Business Machines (IBM) Watson and Google Dialog Flow, were created with this goal in mind. For the implementation of the software application in our project, we selected Google Dialog Flow as the NLU platform. The application's user interface is built on the Flutter software platform. All of the models utilised in this VPA will be built to be as energy efficient as feasible. Some of the common characteristics seen in most VPAs will be included. WAANI will be implemented via a smartphone app, with the intention of implementing it in the desktop environment in the future. The approaches utilised in the development of apps are assured to be provided in the following paper. Provides the outcomes of the developed functions inside of the application. It demonstrates how to utilise existing natural language understanding platforms to decrease user demand and then create a reliable software application.