One of the primary goals of the HEART Research Project is to develop machine learning algorithms through data collection, enabling the extraction of pre-trained generalized models for each device of interest. These models will be securely stored on our innovative and low-cost hardware device, facilitating real-time identification of loads and home appliances. By doing so, we can minimize operating and financial costs while reducing the complexity of relying on a cloud platform/infrastructure.