Sitkalg/athlete.RAISE

🏃‍♀️ RAISE Coach Dashboard REDs Algorithm Integration for Sports Excellence Monitor Relative Energy Deficiency in Sport (REDs) risk in female endurance athletes with direct TrainingPeaks API integration and multi-athlete management. 🚀 Quick Start Option 1: CSV Upload (Demo Mode)

1. 1.Click the "📁 CSV Upload" tab
2. 2.Upload the sample CSV file
3. 3.Click "Generate Dashboard"
4. 4.View risk analysis and charts Option 2: TrainingPeaks API (Live Data)
5. 5.Get your TrainingPeaks access token (Settings → API)
6. 6.Paste token in the "🔗 TrainingPeaks API" tab
7. 7.Select athlete from dropdown menu
8. 8.Click "Load Athlete Data" OR "Refresh All Athletes"
9. 9.View real-time risk monitoring 📊 Features
10. 10.Multi-Athlete Dropdown: Monitor entire team from one dashboard
11. 11.Refresh All Button: Check whole team in 30 seconds
12. 12.Risk Scoring: Color-coded alerts (Low 🟢, Moderate 🟡, High 🟠, Critical 🔴)
13. 13.4 Interactive Charts: Risk timeline, training stress, ACWR, wellness metrics
14. 14.Coaching Recommendations: Automated, evidence-based guidance
15. 15.Dual Mode: Works with API or CSV uploads 📁 CSV Format

date,fatigue,mood,stress,sleep_quality,soreness,tss,ctl,atl
2025-01-01,2,4,2,4,2,150,100,80

• —Required: date, fatigue, mood, stress, sleep_quality (1-5 scale)
• —Optional: soreness, tss (Training Stress Score), ctl, atl ⚠️ Important This is an early warning system, not a diagnostic tool. All elevated risk alerts should prompt consultation with qualified healthcare providers. 🎓 About Developer: Sitka Land-Gillis Project: Science Fair 2025 | Youth Innovation Showcase Location: Whitehorse, Yukon, Canada Research Question: Can machine learning detect REDs risk weeks earlier than traditional physiological testing? 📄 License Apache-2.0