Developed a module of a well-being app that aggregated data from various sources analyzing them in order to generate recommendations, insights for caretakers, and health alerts forming a comprehensive next-best action system. The system was integrated with data sources like Apple Health or Google Fit. This data was combined with input from the users about their current health state, conditions, or daily activity levels. This way a complex analysis of patterns could be performed, resulting in insight and recommendations for both the user and his caretaker. User recommendations were aimed at building healthy habits in response to the current health, while the caretaker was provided with detailed reports and alert systems helping them in monitoring and aiding the user.