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cse-350's Introduction

Mental Disorder Prediction Web App ๐Ÿฉบ ๐Ÿ’Š ๐Ÿ’‰

Mental Disorders Prediction logo

This app is used to predict the likeliness of any individual having mental disorders This includes:->

1. Anxiety

2. Depression

3. Suicide

4. Bipolar

5. Eating Disorder

6. PTSD

Tech Stacks Used

Libraries Used

Structure Of The Project

  • Each prediction page is conneceted with a Machine Learning Model which uses Random Forest Classifier to predict the results.

  • Also we have used different datasets to train the model for each prediction.

  • We can land into each prediction site of the web app from the options in the Navigation Menu.

  • Each prediction is done with the help of some features which will be taken as input from the user.

  • The most relevant features are taken into consideration for prediction also these features can be found out with simple tests or analysis without visiting any doctor.

  • So the individual can get a broad overview of their health condition.

The features taken into consideration

Disorders Features
Anxiety Panic Attack , Heart Rate , Breathing Rate
Depression Anxiety Level, Sadness Level, Insomnia Level, Emptiness Level
Suicide Self-harm Level, Anxiety Level, Depression Level
Bipolar Depression Level, Energy Level, Self-harm Level
Eating Disorder Meal Skip, Insomnia Level, Self-harm Probability
PTSD Insomnia Level, Anxiety Level, Self-harm Level

Deployment Of The Project

After the modeling part the model is deployed using Streamlit library on Streamlit Share so that the app is available for usage for everyone.

Link To My Web Application -

https://sahatonny-cse-350-app-halfn1.streamlit.app/

cse-350's People

Contributors

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Watchers

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