The term Artificial Intelligence refers to the development of intelligent computer systems that have the ability to understand their environment and can make decisions to achieve their goals. Essentially the purpose of artificial intelligence systems is to mimic the human way of thinking and human behavior to a satisfactory degree. This thesis focuses on the development of a digital assistant used in the health domain. The assistant can potentially be used by medical staff that wants to monitor the progress of a variety of patients. The digital assistant gives the user the opportunity to fill in information about their mental health, any symptoms they experience, if they took their medication, as well as information about daily activities related to their well-being. An additional feature of this assistant is its ability to extract and analyze the emotion of the user it is talking with. Rasa software is employed to develop the digital assistant. In addition, three Machine Learning models are implemented and compared, in order to integrate the most efficient one into the digital assistant. The chosen model is responsible for sentiment analysis of the user input. Finally, Dash software is employed to generate a medical report for either the medical staff or the user. Results indicate that the roll out of digital assistants that employ Artificial Intelligence capabilities can be achieved easily when using the variety of software tools available. In addition, besides having an assistant with basic functionalities, digital assistants can easily incorporate additional capabilities to simulate human behavior in an even better way. To conclude, the development of this type of technology has dozens of applications to the multidimensional needs of people nowadays and we await for its further evolution.