ESP32 dashboard architecture supports onboard ML models. Predictive analysis based on the collected array of data sets through post-training sessions. Depending on the use case basic ML can be enabled for small data sets and RTLS software applications
Our ESP 32 dashboard solutions are suited for wireless remote monitoring applications in farm automation, Indoor air quality monitoring, Noncontact temperature monitoring, touchless attendance tracking, temperature & humidity, soil moisture, and other parameters such as ambient light & CO2 levels.