Adaptive Machine Learning-Driven Query Optimization

Develop an intelligent query optimization system that uses machine learning techniques to dynamically improve database query performance in a Laravel application. Create a solution that learns from historical query patterns, automatically generates and drops indexes, predicts optimal query execution plans, and provides real-time performance tuning. Include mechanisms for continuous learning, performance impact assessment, and adaptive query caching strategies.