Juliacon 2024

Mental health includes our emotional, psychological and social well-being. It affects how we think, feel and act. It also helps determine how we handle stress and make healthy choice for being mentally stable. It can affect us through any sort of being like object, person/group of people and any kind of field.
As it is important, many university students are not able to complete their degrees because they go through a certain sort of stress, anxiety, depression and other mental health problems during course of their higher education.
The purpose of this study was to understand the student’s mental health as a function of self (individual factors), the social (interpersonal factors) and the school (environmental factors) and the interrelation using Julia Packages.
For the above study we need data from various sources. This data includes student academic performance data, student attendance data, a mentor counseling dataset, other activities of student data, their social media posts data etc. We had collected data from various sources and implemented using Julia Packages such as DataFrames.jl which will tabulate the data, MLJ.jl to make predictions on the data and PyPlot.jl to plot the results and other metrics.
OUTLINE:
Introduction to Mental Health (2 minutes)
Importance of Mental Health in students (2 minutes)
Julia for mental health analytics (2 minutes)
Approaches and models for mental wellness (7 minutes)
Demonstrating a basic forecasting model (5 minutes)
Results and Discussions (5 minutes)
Conclusion (2 minutes)
Question and Answer (5 minutes)