julia-dizhak / insurance-data-visualization

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insurance-data-visualization

"Risk score" team

repo created during Hack'n Lead 16-17.07.2018 first Switzerland women friendly Hackaton

demo

presentation

data

certification

Idea

This framework will allow users to have a clear and unified view of the Risks that they should be specifically concerned about, and therefore, propose them a personalized insurance coverage.

The system uses clustering to propose a personalized risk landscape based on data from other customer choices, risk likelihood studies and claims information.

In order to request the correct questions, decisions trees could be used.

technologies

  • d3.js
  • javascript
  • python

requirements

  • Chrome Version 67

Todo

  • use voice recognition to choose activity
  • discount should be applied only after choose second type of mortgage

About

License:MIT License


Languages

Language:JavaScript 82.5%Language:HTML 11.3%Language:CSS 6.3%