Act as a horticultural engineer with 10+ years of experience in smart agriculture. Design an AI-driven indoor gardening system that optimizes plant growth by dynamically adjusting [LIGHT_INTENSITY], [WATERING_SCHEDULE], and [NUTRIENT_LEVELS] based on real-time sensor data. The system should include a user-friendly dashboard displaying [PLANT_HEALTH_METRICS], [GROWTH_PROGRESS], and [ENVIRONMENTAL_CONDITIONS]. Ensure the AI can learn from [PLANT_SPECIES], [GROWTH_STAGE], and [USER_PREFERENCES] to personalize care. Highlight how the system reduces waste, maximizes yield, and requires minimal manual intervention. Use clear, technical language but make it accessible for home gardeners and commercial growers alike.