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DeskMind: A Modular Desktop-Based AI Assistant for Voice and Text Command Processing
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Abstract: The increasing demand for intelligent and user- friendly computing systems has led to the development of virtual assistants capable of performing tasks through natural interaction. This paper presents DeskMind, a modular desktop- based AI assistant designed to process user commands using voice or text input and execute tasks efficiently through a scalable architecture. The system integrates speech recognition, command processing, and dynamic skill management to provide a flexible and extensible platform. DeskMind follows a structured design approach where a central assistant module coordinates with a dispatcher to interpret user commands and route them to appropriate functional modules known as skills. These skills are dynamically loaded, allowing the system to be easily extended without modifying the core architecture. The implementation also incorporates multi-threaded execution for improved responsive- ness and logging mechanisms for monitoring and debugging.
How to Cite:
[1] Lajari Atul Patil, Aditya Ganesh Poojari, Parth Kishor Rane, Siddhesh Deepak Wagh,Dr. Avinash Sonule, βDeskMind: A Modular Desktop-Based AI Assistant for Voice and Text Command Processing,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/
This work is licensed under a Creative Commons Attribution 4.0 International License.