Open AccessVirtual Voice Assistant Based on Voice Flow
Author(s) -
Dhruv Piyush Parikh
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38917
Subject(s) - personalization , computer science , anxiety , psychology , task (project management) , face (sociological concept) , human–computer interaction , applied psychology , world wide web , sociology , engineering , social science , systems engineering , psychiatry
We face a perennial pandemic that forces everyone to stay within their premises, which engenders a decline in social interaction between individuals. Moreover, some people fear missing out, which correlates to the fact that individual proclivity towards human interaction is drained, which increases symptoms of depression and raises the bar for anxiety—inspiring from such social circumstances, we want to develop a system that aids in mitigating these social problems. Our system has an artificial neural network layout that enhances personalisation through voice application. An Autonomous Virtual Assistant System is an effective method that shall help a person deprived of social interaction get engaged in a gregarious task, deal with various problems faced by introverts by reducing the psychological impact of COVID 19. Keywords: Google Assistant, Intergromat, APIs, Voiceflow, Speech to text