This chapter offers a comprehensive exploration of why AI-based recommendation models are useful for mental health. The chapter at first initiates the concept of recommendation systems in the context of mental health, by illustrating different types of recommender systems and how they can provide value to end users. The emphasis is placed on enabling the right tools and techniques to track mood changes and various mental disorders, empowering users with valuable insights. Readers gain familiarity with diverse types of recommendations that drive increased user engagement by encouraging the reporting of daily activities. By leveraging AI-powered recommendations, this chapter highlights the potential to enhance accessibility and effectiveness in mental healthcare assistance programs, ultimately leading to improved support and better outcomes for individuals in need.