Paper Contents
Abstract
Artificial Intelligence (AI) and Natural Language Processing (NLP) have enabled seamless humancomputer interaction through voice-enabled virtual assistants. This paper presents the design and implementation of Jarvis A Voice-Enabled Virtual AI Assistant, developed as a lightweight, customizable, and cost-effective alternative to commercial assistants such as Siri, Alexa, and Google Assistant. The system is built using Node.js, JavaScript, Annyang.js, ResponsiveVoice.js, Dialog flow, and APIs. Unlike commercial systems, Jarvis prioritizes customization, privacy, and scalability. Future improvements include contextual memory, IoT integration, and advanced analytics, making it a potential platform for academic,organizational,and industrial use.Keywords: Artificial Intelligence, Virtual Assistant, NLP, Node.js, Open AI API, Voice Recognition.
Copyright
Copyright © 2025 ABHISHEK BHAIRIPATIL. This is an open access article distributed under the Creative Commons Attribution License.