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THE NEXT BIG THING

IOT SPRING 2016

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Automating music selection through the Intel Edison and Spotify.

ABSTRACT

The increasing availability of the internet and cloud services enables the system of Internet of Things to thrive. This system allows for a network of sensors linked to embedded systems to collect data and when linked with a cloud service like Amazon Web Services (AWS) can make valuable predictions based on a dataset. This project will employ the benefits of using AWS' machine learning system and the Intel Edison to collect data about surrounding conditions and make predictions based on the collected data. The predictions will be used as a seed for song reccomendations using Spotify's API and these songs will be added to an ongoing playlist for continuous song selection and playback based on surrounding conditions.

ABSTRACT

Spotify Web API

Spotify was chosen as the music streaming service for this project due to its open sourced API and the availability for free use. It also has a very comprehensive API which inludes generating song recommendations based on a genre and remote playlist management. Both of these capabilities are what sets it apart from other streaming services and are very important to the success of this project. 

Amazon Web Services

AWS was chosen as the cloud service due to the ease of storing data on the S3 database and it's machine learning service which runs seamlessly with the S3 data storage on which the training data is being stored. 

Intel Edison

The Intel Edison was chosen as the CPU of system as it had inbuilt WiFi capabilities which are important in creating the system. The Intel Edison controls the data collection from the various sensors and interfaces the prediction values from AWS and feeds them into Spotify's API. It is also responsible for managing the playlists in Spotify. Basically, the Intel Edison is the brain of the entire system.

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