Interactive optimization solver


“Where do we as an international company decide to meet-up in order to emit as least CO2 as possible.”

Context of the internship

  • Many companies nowadays have the culture of gathering all colleagues at least once a year. These companies are often not taking into account the burden these transportations have on our planet.
  • Based on the location of each ML6 agent, we want to automatically be able to determine the best spot to meet up, taking into account rules and constraints.
  • The goal is to create a demo that works for an arbitrary number of locations we can showcase on our website as well as a blogpost. 

What you’ll learn

  • How to research and implement state of the art optimization techniques while taking into account latency and constraints.
  • How to showcase your work by creating an interactive demo on our website and a blogpost.
  • Getting familiar with how a top notch AI consultancy firm operates internally.