Cloud-based solution for smart home automation and monitoring. The system is composed of a cloud server/cluster in AWS. Embedded devices connect to the server, update their status in real-time, and receive remote commands. There are options for automation and scheduling of the behavior of each device. All devices can work in an ensemble and interact, enabling the user to do more complex solutions with fully customizable options (for example, Thermal sensor coupled with heating elements). Real-time monitoring is implemented with a bundle of features that provide fast diagnostics, anomaly detection, and out-of-pattern behavior of the users. The client can receive information on each device's current power consumption and historical data. When a device behaves differently from its statistical pattern, it is reported to the client. A fascinating feature is out-of-pattern detection. This is a module of machine learning algorithms that provides analysis of the behavior of the inhabitant and sends notifications to the user when an anomaly occurs. Since the project aims to assist elderly people, it can be set up to remind the inhabitant to turn off forgotten appliances or warn if an anomaly is detected in the person's habits.

Web-based trading statistics and benchmarks application, integrated with real-time price feed from a data vendor. Built an Internal chat room service to ease traders' communication and file transfer. Real-time notifications and group messages.

A web platform that aims to research the issues related to the production, consumption, and generation of food waste across Europe and through monitoring and analysis to achieve sustainable reduction. The platform generates daily menus and announcements and supports inventory with dynamic notifications.