Environmental and daily activities affecting mental health using machine learning model

The environmental determinants of health that were gathered from Barcelona city are presented in this research as a fine-grained dataset. This dataset contains a variety of statistics regarding several environmental factors, including temperature, humidity, pressure, wind, green and blue space, among other factors related to human activity like physical activity, alcohol consumption, eating habits and other. The data has been thoroughly pre-processed and exploratory data analysis has been performed to uncover concealed patterns within the dataset, leading to the identification of specific factors that have exerted a direct influence on mental well-being.