Muzic4Soul

                         

In 2012-13 I got an idea to develop a system, where AI would predict the mood of a person and suggest him/her a song that perfectly suits his/her state of mind and make him/her feel better. The core purpose of this system is to help humans fight depression /anxiety /suicidal tendencies.

The Genesis

Once I saw my favorite song played on TV, it felt immensely good. Then I thought about it for a while. “What’s the big deal about it? I can listen to the song on YouTube.” Then I realized a fact about human behavior. There is a factor of unpredictability playing here. When we get our favorite thing from someone else, we feel special, loved. That thing can be anything like music, food, clothes, gifts…etc. This blissful feeling can fight depression, loneliness. This is where the genesis of “Muzic4Soul” happened. I tried for almost a year to develop the logic for it, but couldn’t develop the system because it was too difficult for me. Here I am sharing my idea. Anyone who is interested in it, can take cues from it.

One thing I guarantee that, this is going to be the future of music industry and video streaming industry. 

Idea

1. Profile categorization

Once a person joins ‘Muzic4Soul’, his profile will be categorized into following criteria.

i.      Age group (teen, 20’s, 30’s,40’s…etc)

ii.     Gender (male, female, transgender)

iii.   Location (rural/urban/tier1/tier2/tier3/tier4 cities)

iv.     Economy (poor, middle class, rich)

v.      Languages (mother tongue and languages known)

vi.     Relationship status

vii.   Personality type(introvert/extrovert/ambivert)

viii. Favorite singer list

Some of the data would be collected from the users and other data from their social media.

2. Song categorization

Songs would be given identifier tags for each category they fit it.

i.      Release time (decade wise)

ii.     Genre/ Emotional state of song (happy, sad, romantic…etc)

iii.   Type (loud music, silent music)

iv.     Singer /musician

When a person is happy, he would love to listen to loud music and when he is sad, he would prefer silent music. A sad person would prefer love to listen to songs in his mother tongue.

3. Modus operandi

‘Muzic4Soul’ would look for the public posts of a person in social media to know his state of mind. From there it would shortlist songs according to his/her taste (mixture of age group+ nostalgia+ favorite singer+ language). The AI system would remember user response to the songs for future reference.

The more the user uses ‘Muzic4soul’, the more it would understand the person. It would give him/her a virtual companionship, someone who understands him/her better than themselves. It would use the healing touch of music to help a person cope with negative emotions.

P.S:

In case the AI detects severe depression, it can send SOS message to immediate contacts/friends/relatives/police.