The Product

In order to keep up with the growing demand for healthcare the client wanted us to create an app that monitors the well-being of the patients with the help of a chatbot companion app. The chatbot integrates questions from the medical questionnaire EQ-5D-5L into a natural conversation, in the hope that the patient is willing to provide this sensitive information. It should also serve as a companion for patients who feel lonely. The user's response to each question will be mapped to a scale that quantifies the level of positivity or negativity in their response. The results of the questionnaire are then sent to caretakers, who will decide whether the patient requires additional care. The trend over the last few sessions will be visualised in a graph. The project resulted in a mobile application that will be able to hold a conversation while asking questions concerning the physical and mental health of the user using an LLM. The objective is to provide the client with a demo app, that will show potential investors his idea.

The Customer

Our client is Marco Spruit, a professor of Advanced Data Science in Population Health at Leiden University. He is interested in novel health applications and implementing new insights from these applications into daily practices. Because our client has had this idea for a long time, he has compiled the requirements for the application in several documents. He also had done some research about certain aspects of the implementation and could provide us with some direction when we started the project.

  • "Voorkomen is beter dan genezen." (Prevention is better than curing.)
  • "Teamwork makes the dream work."
The Team

The team members had the following commitments for the project. Tim Haasdijk was responsible for mapping responses and implementing speech-to-text functionality. Mirza Kuraesin handled the back-end, its linking to the frontend and the scaling models, text-to-speech, and integrating both text-to-speech and speech-to-text into the front-end. Ashraf el Madkouki focused on unit testing and Seyidali Bulut was in charge of snapshot testing. Vrinda Badloe implemented the front-end and database management, while Thalia Nanhekhan was responsible for unit testing, communication, and documentation.]

The Technologies