Development of an AI Assistant for Mental Health in a Visual Diary

The diploma thesis addresses the design of a mobile application user interface – an AI assistant for mental health, with the aim of improving users' mental well-being through advanced technologies. The application enables users to easily and accessibly record their thoughts, feelings and emotions in the form of a visual diary, whilst artificial intelligence helps analyse these entries and provides users with personalised advice and tools for managing stress and other psychological difficulties. Based on these entries, the assistant offers users recommendations, stress management exercises, meditation, relaxation and other techniques that help improve mental health. The application is designed to enable users to engage in self-help and self-reflection, allowing them to better understand and manage their emotions and difficulties.

Problem

The diploma thesis addresses the design of a mobile application user interface – an AI assistant for mental health, with the aim of improving users' mental well-being through advanced technologies.

Solution and Method

The application enables users to easily and accessibly record their thoughts, feelings and emotions in the form of a visual diary, whilst artificial intelligence helps analyse these entries and provides users with personalised advice and tools for managing stress and other psychological difficulties. As part of the application design, a user interface design was created in Figma, where attention was paid to ease of use, intuitiveness and visual appeal, in order to provide users with the most pleasant experience possible when using it.

The application enables the recording of daily feelings and emotional states in the form of textual and visual entries, which are analysed by the AI assistant.

Results

Based on these entries, the assistant offers users recommendations, stress management exercises, meditation, relaxation and other techniques that help improve mental health. The application is designed to enable users to engage in self-help and self-reflection, allowing them to better understand and manage their emotions and difficulties. One key functionality is progress tracking over time, where users can observe their changes and progress, which enables greater awareness of their mental health.

With the application, I wish to offer users a tool that is accessible, user-friendly and effective in managing everyday stress and mental challenges. The thesis also analyses existing solutions in the field of mental health, with emphasis on applications that use artificial intelligence to analyse emotions and offer personalised advice. The work represents an important contribution to the design of tools that support mental health and enable easier management of emotional challenges in everyday life, whilst also offering potential for wider use in various contexts, such as therapy, self-help and prevention in mental health.