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
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Each prediction page is conneceted with a Machine Learning Model which uses Random Forest Classifier to predict the results.
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Also we have used different datasets to train the model for each prediction.
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We can land into each prediction site of the web app from the options in the Navigation Menu.
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Each prediction is done with the help of some features which will be taken as input from the user.
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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.
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So the individual can get a broad overview of their health condition.
Disorders | Features |
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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 |
After the modeling part the model is deployed using Streamlit library on Streamlit Share so that the app is available for usage for everyone.