ENHANCEMENT IN MUSIC PLAYER SYSTEM USING ARTIFICIAL INTELLIGENCE

Authors

  • Shreyash Khobragade Dept. of Information Technology of D.Y.Patil College of Engineering, Akurdi, Maharashtra, India
  • Aditya Kathole Dept. of Information Technology of D.Y.Patil College of Engineering, Akurdi, Maharashtra, India
  • Chaitanya Kadam Dept. of Information Technology of D.Y.Patil College of Engineering, Akurdi, Maharashtra, India
  • Rutuja Shelake Dept. of Information Technology of D.Y.Patil College of Engineering, Akurdi, Maharashtra, India

Keywords:

Alan AI, Voice Assistance, Music Player App, Natural language Processing, Flutter.

Abstract

This research paper presents a novel approach to designing a music player system using Alan AI, Firebase, and AWS cloud services. The proposed system aims to provide a seamless user experience by integrating various functionalities, including voice control, music streaming, and database management. Alan AI enables natural language processing, which enables voice-based controls for the music player system. The system's performance is evaluated by measuring various parameters, such as response time, scalability, and user satisfaction. The results are compared with traditional music player systems to determine the system's effectiveness and performance.

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Published

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How to Cite

Shreyash Khobragade, Aditya Kathole, Chaitanya Kadam, & Rutuja Shelake. (2023). ENHANCEMENT IN MUSIC PLAYER SYSTEM USING ARTIFICIAL INTELLIGENCE. EPRA International Journal of Research and Development (IJRD), 8(3), 154–156. Retrieved from http://eprajournals.net/index.php/IJRD/article/view/1686

Issue

Vol. 8 No. 3 (2023): EPRA International Journal of Research and Development (IJRD)

Section

Articles