The project aims to develop an integrated, non-intrusive system for detecting, monitoring and managing stress levels in individuals working in environments characterised by high mental workload combined with intellectual and physical strain. The research focuses on developing algorithms and machine learning models that detect occupational stress using data collected from a range of sources.

Alongside this, the project creates awareness and stress management training programmes delivered through digital e-learning platforms. A specially designed mobile application allows users to interact with the system, providing real-time updates on their engagement. The app also incorporates gamification elements and personalised interventions to enhance user experience and effectiveness.