Voice-controlled assistants have changed how we use systems. This research is about designing and building a music bot for Alexa that uses machine learning to make music suggestions and playback better with voice commands. The system combines Amazon Alexa with machine learning to understand what users like, process voice inputs and give music suggestions. The proposed model uses natural language processing to understand what users say and get the music commands. A machine learning module analyzes what users listen to, their behavior and other details to suggest songs they might like. The system connects to music streaming services in the cloud. Uses APIs to get and play music right away. The system has four parts: * a voice input interface * a machine learning recommendation engine * a cloud processing unit * a music streaming integration module. The recommendation engine uses methods, like filtering and content-based filtering to get better at suggesting music over time. Experimental results show that the system understands voice commands and gives music suggestions making users happier and more efficient. The Alexa-based music bot works well with voice commands. Provides good music suggestions. The system makes music playback better with voice commands and machine learning.
Amazon Alexa, Machine Learning, Music Recommendation System, Natural Language Processing, Voice Assistant, Collaborative Filtering, Speech Recognition.
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