XAI-Mental-Health is a pioneering project developed for the Institute of Business Analytics at Ulm University. This survey website tests various XAI (Explainable Artificial Intelligence) explanation methods in the context of mental health. Its purpose is to explore how different explanations can affect user understanding and trust in AI-driven mental health evaluations.
Link: https://mental-health.erklaerbare-ki.de/
XAI-Mental-Health utilizes the MERN stack, complemented by Next.js for improved SSR capabilities, and Docker for environment consistency.
- MongoDB: Handles data storage with flexibility to manage diverse survey data.
- Express.js: Simplifies backend API development for efficient data operations.
- React: Ensures a dynamic and responsive user interface for survey participants.
- Node.js: A server-side runtime environment that allows for backend code execution in JavaScript.
- Next.js: Provides server-side rendering to enhance the performance and SEO of the application.
Docker containers are used to encapsulate the project's environment, ensuring that it runs uniformly across all machines.
