PROJECT OVERVIEW
TITLE
Developing a Machine Learning Model to dynamically analyse Stress Levels of Amazon Workers and Increase Tax Revenue based on the role stress.
DESCRIPTION
It is widely recognised that the enforcement of higher taxes on tobacco, alcohol, and sugar has effectively decreased their consumption and thus enhancing life expectancy, alleviating the significant disparity between the demand and capacity in the NHS, and reducing the financial burden on the National Health Service (NHS).
Given the similarities in costs and rising pattern among all four (tobacco, alcohol, sugar, and mental health issues related to the workplace), this project proposes for an innovative approach that leverages established and effective models of taxation through analysing the profound impact that stress has on the lives of individuals during the working hours.
By harnessing the capabilities of smartwatch technology, sophisticated data analytics, and machine learning, the system has the ability to revolutionise the taxation industry by factoring in the time frame of an individual's stress exposure.
In addition to generating tax revenue, it will encourage the implementation of healthier lifestyles and alleviate stress, thereby making a positive contribution to the general welfare of individuals and subsequently benefiting society as a whole.
RODRIGO FACCHIN - L38544296 - BSc Computer Science - Block 2 – Assessment 2 - PROJECT