Life in society has initiated a search for comfort and security in social centers. This quest has generated revolutions within the knowledge about the technologies involved, making the environment automated and integrated. Along with this increase, ecological concerns have also arisen, which have been involved since the conception of intelligent structures, remaining throughout their use. Based on these two pillars, the present study aims to cover three central systems inside the apartments of the Apolo Building (Bragança, Portugal). The monitoring of the energy and water consumption and waste disposal systems are integrated by storing the data in a single database in InfluxDB. The data is collected through the sensors and transmitted via Wi-Fi, allowing real-time monitoring through the Grafana application. This data collection makes it possible to track the resident’s behavior through the applied machine learning algorithm. In addition, the collected data should be visible to the resident, bringing together ecological solutions that minimize the expenditure of the building’s resources. Through continuous observation of the data, it will be possible to analyze whether there have been changes in the resident’s behavior through the data presented. Besides dealing only with technical data, this analysis can bring advantages in the search for better ecological awareness of each resident. There is no point in seeking efficient solutions for the building if each resident does not has own actions do not aim at it.
