This reviewpaper explores the intersection of digital well-being, AI-driven interventions, and user behaviour, highlighting the growing challenges of digital overuse in the context of smartphones, social media, and online platforms. As digital engagement increasingly prioritizes user attention, concerns around mental health, productivity, and screen addiction are amplified. The paper examines the potential of AI technologies in addressing these challenges, particularly through personalized interventions that monitor and optimize user behaviour. Despite promising results, current AI-driven wellness tools face limitations in sustaining long-term behaviour change. The review emphasizes the need for wellness applications grounded in habit formation theories and the inclusion of social support mechanisms. Ethical considerations, such as privacy, data security, and user autonomy, are discussed in the context of AI-driven self-diagnosis systems. The paper concludes by proposing future directions for developing AI systems that integrate advanced behaviour analytics and ethical frameworks, fostering healthier, more sustainable digital engagement.