AI-Driven Meditation: Personalization for Inner Peace

Meditation is a mindful practice known for its difficulties, requiring focused attention despite distractions. Many people have traditionally relied on meditation apps with calming audio for support. This paper introduces an innovative AI-driven system aimed at improving the meditation experience, personalized to each user’s needs. This system consists of three core parts. First, it uses a language model to create meditation scripts that match user preferences. Second, it converts these scripts into audio, accompanied by selected background music to create a serene atmosphere. Lastly, a Compositional Pattern-Producing Network (CPPN) generates visually appealing videos featuring intricate patterns influenced by sentiment analysis and input audio. One of the system’s strengths is its adaptability since users can indicate their preferences among generation options and inform the system about their feelings and thoughts. An experiment, involving 14 participants, demonstrated comparable content and audio quality as traditional methods. Participants perceived the system as more personalized, expressing a preference for tailored meditation practices and indicating potential for increased user engagement. In summary, this AI-powered meditation system represents a significant advancement in the field, providing personalized, immersive experiences that integrate text, audio, and visuals. Its ability to adapt to users’ preferences holds promise for enhancing meditation outcomes and fostering inner peace.