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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 2, FEBRUARY 2025

Nova: A Versatile Voice-Controlled Desktop Assistant

Mr.Khamkar Saad, Mr.Ansari Mohd. Shadab, Mr.Khan Abdullah, Mr.Shaikh Mohd. Siddique, Ms. Shaista khan

DOI: 10.17148/IJARCCE.2025.14236

Abstract: Nova is a voice-controlled desktop assistant designed to simplify user interactions and enhance productivity. Utilizing advanced speech recognition, prompt engineering, and data-driven decision-making, Nova facilitates hands-free control of applications and provides real-time feedback via text-to-speech. Unlike traditional NLP-based solutions, Nova leverages structured datasets and JSON-based prompts to streamline interactions, reduce processing overhead, and prioritize user privacy. Developed using PyQt5 for a native graphical user interface (GUI) and python PyQT5 functions for backend Connection Nova offers a comprehensive, cross-platform solution tailored for accessibility, multitasking, and efficient computing environments. Keywords: Speech Recognition, Desktop Assistant, Datasets, TTS, Automation, Prompt Engineering.

How to Cite:

[1] Mr.Khamkar Saad, Mr.Ansari Mohd. Shadab, Mr.Khan Abdullah, Mr.Shaikh Mohd. Siddique, Ms. Shaista khan, “Nova: A Versatile Voice-Controlled Desktop Assistant,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14236