Personalized Recommendation System for Sport Activities

The goal of this clinical trial is to test and compare the effects of a tailored algorithm recommendation of sport activities concreted in challenges to improve some critical performance dimensions. Q1: Improving participant performance is achieved by using personalized sports activity recommendation using an algorithm and tracking compliance using a decentralized application (dApp)? Q2: Are participants satisfied with the performance and simplicity of the dApp used? Participants will be asked to do specific activities recommended by the developed recommender system. The activities to be carried out will be conditioned by the profile obtained from each participant at the beginning of the intervention. They will consist of reinforcement activities for the dimensions with the lowest scores. Researchers will compare a experimental group and a control group to see if the dimensions assessed at the beginning of the intervention were improved.