Fluless

Inspiration

In the context of preemtive health insurance, we see a business model of microservices that insurance offers to employers to improve the health of their employees. One of this microservices could be a flu service that includes ranking employees with respect to their need of vaccine, tracking the spread of the flu, warning when users need to take preventive actions, provide information for a quicker recovery, etc.

What it does

For this hackathon we have developed a demo where we have information about prevention, treatments, symptions and the status of the epidemic spread in Finland and warning generation.

How I built it

We have used Python Flask as web development framework, Google Trends as data source (data pipeline implemented manually), Python Pandas for data manipulation and analysis and Python Matplotlib for visualization.

Challenges I ran into

Nothing more than the time constraints of the hackathon

Accomplishments that I'm proud of

Being able to implement a data product in just a weekend! Also that the complete product is implemented with open source libraries.

What I learned

How to acquire data from google trends
How to integrate pandas dataframes and plots to a website. How to make a simple model to detect threshold taking into account the time series, the first and second derivative