Abstract :

This Paper Presents The Design And Implementation Of A Multifunctional Voice Assistant Named JARVIS, Developed Using Python. The Assistant Integrates Real-time Voice Recognition, Intent Classification, Intelligent Task Execution, And Voice-based Interaction Using Modular Architecture. Core Components Include Browser-based Speech-to-text (via Web Speech API And Selenium), Intent Detection Using Cohere API, Conversational Responses And Real-time Summaries Using Groq LLaMA3, And AI-based Image Generation Via Hugging Face Stable Diffusion. The System Supports Voice-activated Automation For Opening Applications And Controlling Media Through PyAutoGUI. JARVIS Also Features A PyQt5-based Graphical User Interface That Provides Visual Feedback And Status Tracking. Designed With Secure Environment Configurations And Asynchronous Processing, The Assistant Demonstrates The Practical Potential Of Voice-controlled AI Systems For Productivity, Automation, And Natural Human-computer Interaction.. Keywords— Voice Assistant, Speech Recognition, Intent Classification, Natural Language Processing (NLP), RealTime Search, Automation, Text-to-Speech (TTS), Image Generation, Python.

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

224-228

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite