An intelligent support system and emotional state tests for people who are sick or recovering

Abstract

The project aims to develop an intelligent system that has the potential to significantly improve patient care by examining and supporting the emotional state of people with chronic diseases or undergoing rehabilitation. The system will use advanced technologies such as image analysis, natural language processing and understanding (NLP/NLU), and a personal assistant module. Acting as a virtual companion, this module will support the user in everyday tasks such as setting reminders and managing schedules and provide emotional support through interactive conversations. The project also involves the development of an analytical module that automatically generates analyses and reports based on the collected data. A patient-oriented system will be created during the work to collect essential data and support him in rehabilitation. On the other hand, the system will cooperate with a doctor who can make a preliminary diagnosis and develop further treatment based on the patient's data. As feedback, the patient will receive health reports along with their interpretation and treatment recommendations created by the doctor.

Keywords

• computer vision
• natural language processing
• natural language understanding
• deep learning
• transformers