Automated Index Recommendations

## Goal
ML-driven index suggestions with cost-benefit analysis.

## Proposed Features
- Analyze query patterns for index opportunities
- Calculate cost-benefit for proposed indexes
- Detect redundant indexes
- Generate index creation scripts

## Success Metrics
- Index recommendation accuracy >80%
- Performance improvement prediction within 20%
- Redundant index detection >95%