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@article{176028,
        author = {S MAHAMMAD HUSSAIN and P LAKSHMIKAR YADAV and P.YUVARAJ and S DEEKSHITH and Dr. D. Bright Anand and Mr.N.VIJAYA KUMAR and Mr.V.SHAIK MOHAMMAD SHAHIL and Mr.PANDRETI PRAVEEN},
        title = {Voice AI-Intelligence Based Voice Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6955-6963},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176028},
        abstract = {Voice assistant applications have become integral parts of modern technology ecosystems, offering users convenient and efficient ways to interact with their devices. This paper introduces VoiceAI, a versatile voice assistant application developed using Android Studio and Google's Machine Learning Kit (MLKit) for Optical Character Recognition (OCR) functionalities. The app includes features like setting alarms, making calls, opening applications, and conducting question-and-answer sessions powered by G4F. A comparative analysis between G4F and Google's backend is performed, assessing their performance and user satisfaction during question-answer interactions. Voice AI simplifies daily tasks and boosts productivity, providing insights for developers, researchers, and end-users interested in AI-based voice assistant applications.},
        keywords = {AI-based Voice Assistant, Android Studio, Optical Character Recognition, G4F, Machine Learning Kit.},
        month = {April},
        }