Fitness Tracker ML — Health Telemetry Analytics

Machine learning pipeline analyzing biometric telemetry, workout volume, and activity patterns to forecast recovery windows and training plateaus.

Feature Engineering: Transformed raw time-series sensor data into rolling aggregates, intensity thresholds, and fatigue indexes.

Predictive Modeling: Evaluated regression and classification models with scikit-learn pipelines to predict next-day recovery scores.

Data Visualization: Interactive dashboards summarizing training distributions and trend correlations.

GitHub: https://github.com/krishujeniya/Fitness-Tracker-ML