How Random is Random? and Music Sentiment spotify

This is a very simple python project which shows how computers rely heavily on math to produce a Gaussian Distribution of random numbers, but truly, these are pseudo random numbers.

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Inspiration

I have always been curious about how computers generate random numbers. Is there intelligence just random or decisively random -- a question which we are still trying to answer. As I work with ML Modelling and use random seed to persist "randomness", it shows that nothing is truly random. Computers use mathematical computations to generate what we see as random numbers.

I also built a suggest music based on mood, and it is also attached below. Uses FER and opencv, along with Flask

What it does

Generates pseudo random numbers using a simple mathematical linear model.

How we built it

Built sentiment music using apis from Spotify and also OPENCV and FER

Challenges we ran into

Designing a gaussian-like random number is hard. We need the right set of hyperparameters for an accurate representation of random

Accomplishments that we're proud of

What we learned

What's next for How Random is Random?

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