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.

Explore cutting-edge AI mental health tools ➝