Abstract

Voice assistants offer a practical and easy-to-use means of interacting with the increasingly important components of sophisticated computer systems. technology. The goal of this research project is to develop and utilize a desktop-oriented voice assistant utilizing Electron JS and Python. The project looks into the user experience, development methodology, and technical architecture of creating a voice-activated desktop interface. Platform interoperability and web technology integration are made possible by using Electron JS, while Python offers essential functions like natural language processing and speech recognition. This project highlights several facets of developing a desktop voice assistant, including system integration, UI design, and speech accuracy. User reviews and test findings provide insight into the voice assistant application's effectiveness and usefulness. This report concludes with a discussion of potential future avenues for advancements to increase the ubiquity of these kinds of tools in other fields outside. We are using react native to do this mobile application.