This project demonstrates a survey-based and classical machine learning approach using data visualisation to explore the impact of COVID-19 on mental health. While helpful in understanding trends in small samples, it highlights the constraints of earlier methods that rely on self-reported data and basic statistical modelling.
Today, advanced AI-powered mental health tools can analyse speech, text, and behavioural patterns in real time, offering more continuous, personalised, and scalable insights into mental well-being.
Author: Stephen
Founder of HealthyData.Science Ā· 20+ years in life sciences compliance & software validation Ā· MSc in Data Science & Artificial Intelligence.
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