ZERINA: Smart Desktop Assistant with Quantum AI

Author

V. Srinadh, P. Ushakumari, B. Bhargavi, N. Satvik, M. Chandra Mohan

Abstract

 The increasing use of digital applications and computer-based activities has created a need for intelligent desktop assistants capable of understanding user commands and performing multiple tasks efficiently. This paper presents ZERINA, a Smart Desktop Assistant with Quantum AI, designed to support voice and text-based interaction, intelligent command understanding, real-time information retrieval, and automated desktop operations. The proposed system integrates a Hybrid Deep Neural Network (DNN) and Rule-Based approach for intent understanding, an Ontology-Augmented Small Language Model (sLLM) for contextual reasoning and task interpretation, and the Quantum Approximate Optimization Algorithm (QAOA) for task scheduling and workflow optimization. ZERINA also integrates external services, including Tavily AI, Google Maps, OpenWeatherMap, and YouTube API, to provide access to real-time information. Its desktop automation capabilities support application control, file management, and document generation. By integrating these AI techniques with quantum-based optimization, ZERINA provides a unified desktop assistance framework that aims to simplify user interactions and automate routine computer operations.

Keywords

Artificial Intelligence, Desktop Automation, Hybrid Deep Neural Network, Ontology-Augmented sLLM, QAOA, Smart Desktop Assistant.

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