Mental health & Prevention of depression

With growing pressure of modern society, mental health has risen to a significant issue in life. We can make a model to estimate the likelihood of depression towards people in need and help them.

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Inspiration

Global prevalence of anxiety and depression increased by a large extent due to the COVID-19 and layoff. More people are suffering from the mental health issues and they may easily get depression without intervention. Our task is to provide a model to predict the person's possiblity of getting depressed.

What it does

It will ask for some information that considered contributing to the depression. With the data you input, you will know if you are in a good condition.

How we built it

We built it with the linear regression model which introduces 20 factors from the data set, including from the income, sex, family condition and so on.

Challenges we ran into

The greatest challenge is how to input the linear regression function. This is achieved through some source library.

Accomplishments that we're proud of

This model should work well with the sample given, and some of data collected from other sources.

What we learned

Learned a good model of machine learning towards how to balance the weight of different factors.

What's next for Care your mental health & Prevention of depression

Collecting and Training more datasets from Interenet and improve the performance of this model.

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