👉 The selected project is an AI-driven smart gardening system designed to optimize plant growth and health using machine learning. This system integrates environmental sensors, IoT connectivity, and predictive analytics to monitor soil moisture, temperature, light levels, and nutrient content in real-time. By analyzing this data, the AI provides personalized care recommendations to gardeners, adjusting watering schedules, nutrient dosages, and even suggesting optimal plant varieties for specific conditions. The project aims to make gardening more accessible and efficient, especially for urban dwellers or those with limited gardening experience, by automating the complex process of plant care and reducing waste through precise resource management.
