The world's population is aging. With this, new socioeconomic challenges emerge from the desire for a long life with health and well-being. This desire becomes even more important in the face of situations such as the new coronavirus pandemic. With the general health infrastructure shortage evidenced by Covid-19 pandemic, there is a growing need to save hospital beds, which on the other hand reduces the infection risks during hospitalization. Considering this context, technologies for continuous monitoring and assistance to patients, and especially older adults, allow systems and applications to provide data about the patient's behavior outside a hospital environment and within their daily lives. Using this data, the elderly Quality of Life (QoL) can be monitored to guide faster and more accurate actions to be improved. Also, chronic and acute diseases can be monitored, providing support and alarms for patients and health services on how to react to anomalies. Thus, this project proposes to develop a new IoT platform to help the continuous monitoring of QoL of older adults and patients with chronic or acute diseases using smart objects called Angel. For that, the project has six parts, called Work Packages (WP). Each package will investigate important aspects for the development of smart health applications with Angel such as (i) continuous monitoring of quality of life using smart objects, (ii) the detection of mobility problems or falls, sensing and analytics of vital signs in order to monitor chronic and acute diseases, (iii) runtime testing approaches to ensure quality of dynamic smart health systems, (iv) data enrichment, (v) the infrastructure and connectivity necessary for the execution of critical health applications that require low latency and high availability, and (vi) strategies using blockchain to provide privacy and security for health data. During the project, we define some integration checkpoints to combine the results obtained in each WP inside Angel. Eleven different institutions (UFC, UFPI, IFCE, UECE, UNIFESP, UV, UNSA, EFREI, INRIA-LORIA, IMT-TSP, and ULR) from four different countries (Brazil, Peru, Chile and France) are participating in this project, which enable a good knowledge exchange about the challenges and technologies related to this proposal.