The rapid pace of the modern work significantly affects employee productivity, job satisfaction, and employee retention in the long run. Most organizations, however, currently do not have a unified system that links diverse health-related data for proactive wellness strategies, despite the obvious connection. This project is about creating an interactive platform that integrates lifestyle, workplace, and physiological data without any interruption. Such an integration provides the total employee well-being. The system, through the use of convincing visualizations and predictive analytics, is intended to bring to the surface the deeper structures that have a connection with stress levels, physical activity, and health risks. By making the complex data sets simple and understandable for action, this platform allows both staff and management to take the rightiv steps towards healthier work practices. In the end, this project is an example of how powerful advanced data analytics and visualization techniques can be combined to create a workforce that is more balanced, productive and health conscious.
- IBM HR Employee Attrition : https://www.kaggle.com/datasets/jazminegreen/ibm-hr-employee-attrition?utm_source=chatgpt.com
- Sleep, health and lifestyle : https://www.kaggle.com/datasets/uom190346a/sleep-health-and-lifestyle-dataset
- Apple / other wearable https://www.kaggle.com/datasets/aleespinosa/apple-watch-and-fitbit-data
- Fitbit Dataset: https://www.kaggle.com/datasets/arashnic/fitbit/data
- Gradient Boosting Model
- Predicts Mental and Physical Health on a score on 1-100
(1) frontend npm run dev
(2) backend npm start
(3) ML model (FASTAPI) - source .venv/bin/activate uvicorn app:app --reload --port 8000