Automatic generation of session for fitness training

When:
15/01/2021 – 16/01/2021 all-day
2021-01-15T01:00:00+01:00
2021-01-16T01:00:00+01:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : PLEYO SAS / CNRS UMR6072 GREYC
Durée : Six months, e.g. Mar
Contact : riad.makdessi@pleyo.fr
Date limite de publication : 2021-01-15

Contexte :
The startup Pleyo, in development within Normandie incubation, works in the field of connected fitness. Its goal is to offer the user a complete experience by interacting in a playful way on a fitness device with a computer or game console.

Sujet :
The work required of the trainee is to design a training program generator. Depending on certain data, parameters and constraints, this generator will have to propose a training sequence made up of layers supporting multiple interacting training data and media formats, within the defined constraints.

A proposed approach for the work consists in the realization of a plan with techniques such as Markov decision process, and possibly machine learning techniques.

Profil du candidat :
Master 2 student in computer science or 3rd year of engineering school

Formation et compétences requises :
• Specialization in multi-agent systems, planning, reinforcement learning, MDP, constrained systems.
• Good level of English (read, written, spoken)
• Taste for sport, fitness, video games

Adresse d’emploi :
Caen (France)

Document attaché : 202101040906_PleyoInternshipProposal.pdf