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Published Paper Details:
Paper Title
Automative Desktop Assistant
Authors
J. Sai Vignesh, P. Srilekha, Sk. Mohammad Rafi, G. Bhanu Prakash
Keywords
AI Desktop Assistant, Voice Command Recognition, Wake Word Detection, Natural Language Processing (NLP), Graphical User Interface (GUI), Speech Synthesis, OpenAI API, AI Chatbot Integration, Real-Time Automation, Task Scheduling, Python, Human-Computer Interaction (HCI), System Control, Smart Assistant, Personal Automation, Multimodal Interaction, Continuous Voice Processing.
Abstract
The JARVIS platform exemplifies a sophisticated integration of cutting-edge technologies within a modular
AI-powered desktop assistant framework. It features a responsive graphical user interface (GUI), accurate
voice-command recognition, and seamless integration of artificial intelligence for multimodal interaction. The
assistant supports dynamic voice command execution, real-time chatbot communication via the OpenAI API,
and intelligent automation of desktop tasks such as launching applications, setting reminders, and retrieving
information. Additionally, the system incorporates wake-word detection and speech synthesis for continuous
hands-free operation. Its modular architecture ensures scalability and extensibility, enabling intuitive humancomputer interaction through natural language processing and system-level control. The JARVIS assistant
represents a robust and accessible solution for intelligent personal desktop automation.
IJCRT's Publication Details
Unique Identification Number - IJCRT2510370
Paper ID - 294917
Page Number(s) - d91-d98
Pubished in - Volume 13 | Issue 10 | October 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
J. Sai Vignesh, P. Srilekha, Sk. Mohammad Rafi, G. Bhanu Prakash, "Automative Desktop Assistant", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.d91-d98, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510370.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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