Web-based adaptive audio-therapy recommender system

This paper presents an online system that aims to recommend suitable audio-therapy to improve mental states of a user. It is designed and implemented with a capacity to analyse user´s current mental states and based on the acquired result, recommend a suitable audio-therapy for the user. The web based system was developed with a number of components. The core engine of the system is an online questionnaire component used to determine the user´s current mental states and an audio-therapy matching component. The latter is driven by an algorithm created to match the user´s score derived from the answered questionnaire to suitable therapy audios, recommended for the purpose of improving the user´s mental states. The system was implemented using database-driven PHP server script, enabling dynamic functionalities and features offered to both end-users and psychiatrists.