International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Implementation of Voice Recognition for an iOS Framework Based Bedtime Music Application

Author(s) Alexander Jason Waworuntu
Country Indonesia
Abstract Sleep Deprived is a common health issue that can significantly impact one's quality of life. The development of an iOS-based application called Dreamify has been undertaken as an innovative solution for individuals suffering from Sleep Deprived. This project combines sophisticated technical approaches with cognitive psychology principles to provide a holistic and personalized user experience. Dreamify offers various features including sleep pattern tracking, relaxation exercises, and audioscapes, all specifically designed to enhance sleep quality. The application integrates cutting-edge sleep analysis and stress management technologies while maintaining a user-friendly approach with an intuitive and easy-to-understand interface. The primary beneficiaries of Dreamify are individuals seeking non-pharmacological solutions for their sleep issues. It is anticipated that this application will positively contribute to improving users' mental and physical health, providing an effective and practical alternative for addressing Sleep Deprived. This research provides an in-depth insight into the design and implementation of Dreamify, along with preliminary evaluations of its effectiveness and user satisfaction.
Keywords Sleep Deprived, Sleep, iOS
Field Computer Applications
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-31
Cite This Implementation of Voice Recognition for an iOS Framework Based Bedtime Music Application - Alexander Jason Waworuntu - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21200
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21200
Short DOI https://doi.org/gtw6st
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E-ISSN 2582-2160
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