IoT platform for level detection of CO2 in closed environments

In this research seeks to implement a prevention system that measures CO2 levels in closed environments, in order to reduce the probability of contagion of SARS-COV-2. This system interacts with a microcontroller (ESP32) which will obtain the CO2 concentrations in ppm from a gas sensor (MQ-135) which in the first instance will proceed to calibrate the sensor using established formulas so that it gives exact data and can convert them to ppm. Finally, the system based on IoT technology will sfhow the concentration levels obtained in real time and thus, with already established ranges, it will indicate to the user the level of probability of contagion to which they will be exposed, making the stay in a closed environment safer.