Personal Garage: Advanced Equipment Tracking and Optimization AI

[hdkiller]

💡 Summary

Create a 'Personal Garage' feature to track equipment (bikes, parts) and its specific impact on performance metrics and maintenance schedules.

🤷 Motivation / Use Case

Equipment (e.g., bike geometry, aerodynamics, weight) significantly influences performance data. Tracking usage at the part level (chains, tires) enables proactive maintenance and allows the AI to provide more accurate, context-aware coaching insights.

📋 Detailed Requirements

• Equipment Logging: UI to manage bikes and specific components.
• AI Performance Context: Inform algorithms about geometry and expected performance differences (Fat bike vs. Road bike).
• Usage Tracking: Automatically accumulate mileage/hours on specific parts for wear monitoring.
• Upgrade Recommendations: AI-driven suggestions for equipment upgrades based on user performance (W/kg) and route specifics (e.g., aero wheels for flat routes).

✅ Acceptance Criteria

• Users can assign specific equipment to workouts.
• System tracks cumulative usage per component.
• AI provides insights into how equipment choice affected specific workout metrics.