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@article{195948,
        author = {Zaib Khan and Ayush Ramteke and Yasin Mirza and Nilesh Thakre and Omkar Dudhbure},
        title = {Desktop AI: An Intelligent Voice Assistant for Enhanced Human-Computer Interaction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2502-2504},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195948},
        abstract = {AI voice assistants revolutionize desktop interaction by converting spoken commands into actions like app launching, file management, and web searches. Unlike cloud-dependent systems like Siri, this desktop-focused assistant prioritizes offline processing using Python libraries for speech-to-text (STT), natural language understanding (NLU), and text-to-speech (TTS), achieving 90% accuracy in quiet environments. The system addresses privacy concerns and internet dependency while supporting adaptive learning from user feedback. Key outcomes include reduced manual input by 70% for routine tasks and improved accessibility for users with disabilities.},
        keywords = {AI Voice Assistant, Desktop Application, Speech Recognition, Human-Computer Interaction (HCI)},
        month = {April},
        }