MENTAL ILLNESS PREDICTION USING MACHINE LEARNING

MENTAL ILLNESS PREDICTION USING MACHINE LEARNING

Archanaa A, Gowrishankari M, Kamali P, Swathi S

Department of Computer Science and Engineering,

Sri Sai Ram Institute of Technology,

Abstract:

An automated approach for detecting mental health is being developed in this project. In order to detect mental health issues including stress, anxiety, depression, and other issues, we are working to build an end-to-end method. When a mental health issue is detected, our system will suggest the appropriate therapies. If the issue is severe, the system will assist in contacting the appropriate psychiatrists or doctors. To do this, we will use a variety of machine learning (ML) techniques and classifiers to create a prediction model on historical data, plot the results, and determine the model's accuracy using test data. We need to deploy the model online in order to utilize it to predict the fresh data. Then, using Flask, we will build a web application on it.

Keywords: Machine learning algorithms, Classifiers, Random forest, KNN, Exploratory Data Analysis, Data Visualization