Artificial Intelligence Enabled Sleep Health Dashboards: Power BI Integration for Data-Driven Lifestyle Modifications

Sleep health is a critical component of overall well-being, yet it is often neglected in modern lifestyles. This paper explores the integration of artificial intelligence (AI) with Power BI to develop interactive sleep health dashboards, providing individuals and healthcare professionals with data-driven insights to optimize sleep and related lifestyle modifications. The AI algorithms analyze sleep data from various sources, including wearables and self-reported surveys, to identify patterns and key factors affecting sleep quality, such as stress, diet, and physical activity. The results are visualized through intuitive Power BI dashboards, offering real-time, personalized recommendations for improving sleep hygiene. By combining artificial intelligence predictive capabilities with the interactive visualization of Power BI, users can track their progress and make informed decisions on lifestyle adjustments. This innovative approach bridges the gap between raw data and actionable insights, empowering users to achieve better sleep health through an evidence-based, user-friendly system.