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@article{165925,
        author = {Dheeraj M and Mr Kiran Kumar M N},
        title = {Versatile Electronic Resource Offering Guidance, Information, and Comprehensive Assistance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {2086-2089},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165925},
        abstract = {The present study delves into the progressions of personal voice assistants (PVAs), with a particular focus on how they might be combined with machine learning (ML) and natural language processing (NLP) to improve user engagement. In contrast to conventional PVAs, which primarily rely on internet connectivity, our suggested solution functions both online and offline and enhances processing speed and security through local data storage. The system architecture facilitates operations ranging from simple commands to sophisticated applications like home automation. It includes data collecting, voice-to-text conversion, data processing, and text-to-speech output. This voice assistant advances the domains of artificial intelligence (AI) and human-computer interaction (HCI) by improving accessibility for people with impairments by solving present shortcomings in accuracy and usability.},
        keywords = {Artificial Intelligence, Image Generation, Personal Voice Assistant, Machine Learning},
        month = {June},
        }