Melos 💫

An emotional indicator to music

How does it work ?

• The app identifies the song that is currently being played.
• Fetches a bunch of parameters (danceability, loudness, acousticness, tempo) related to the song.
• Based on the parameters, it calculates the emotion(s) that the listener's feeling.
• Using the emotion, it actuates specific IOT devices to change the ambience of the room.

Usage

1. Clone this repository and move into the repository

git clone https://github.com/shreyass-ranganatha/melos.git; cd melos

2. Install the requirements

python -m pip install -r requirements.txt

3. In the same terminal path, do.

./bin/melos 

4. Open the link localhost:8003 in a browser of your choice

5. In the input box provided, drop your favourite Spotify song's shareable link and hit the Submit button, and get a quick shareable one/two word listing of your song's emotion...

6. The Android App, can sense the Spotify song playing in the background all on it's own 💫

What's left

1. We expect to build this onto IoT platforms, to experience events like, the lights dimming out for mellow songs, drapes opening for upbeat bright songs, etc.