ENHANCING USER PRODUCTIVITY: DEVELOPMENT OF A VOICE-BASED VIRTUAL ASSISTANT

Abstract

This work streamlines voice command interactions with devices by integrating NLP and machine learning in Python to create a desktop virtual assistant. It prioritizes safe authentication and economical resource use while converting voice inputs into text for analysis and customized responses. By using cutting-edge voice recognition, the assistant seeks to improve desktop productivity. It continuously adjusts to new developments in voice technology to satisfy changing user demands. Keyword: Virtual Personal Assistant, Artificial Intelligence, Voice Recognition, Python, text to speech.