Design of a Mobile App with the Use of Machine Learning for the Monitoring of Coronavirus Patients (COVID 19) In Peru

Abstract

In Peru the electoral process as well as the approval of national projects are affected by the delay of the process since these decisions are usually carried out in the traditional way, that is to say, through paper and pencil voting; besides that it includes administrative expenses and efforts that could be replaced by a better option. For this reason, a new integral system of electronic voting is intended to be developed, based on the Scrum methodology. With this objective, the panoramic data of the country is evaluated to verify the viability of the project; therefore, the present study is decided to concentrate in the area of metropolitan Lima and its municipalities to be able to reach a platform that allows the fast and easy election or approval of national subjects in an anonymous way, like the traditional, and secure. The results of this study will serve as a basis for local and national authorities to consider the implementation of the platform as well as benefit the scientific community by addressing e-voting in detail.