video1.0<iframe src="https://www.loom.com/embed/3237d32c44f64380b095ee876edbe371" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/3237d32c44f64380b095ee876edbe371-945d89b82032199f.gif287.19This Loom introduces Fetchlytics, a Springlit and Python fitness dashboard that tracks an individual’s KPIs. It uses three CSV datasets: Workouts (repetitions, weights, exercise type, and targeted muscle group), HealthMetrix (weight, sleep hours, heart rate, steps, calories burned, water intake, and self-reported feelings), and goals (seven goal categories like weight loss, strength training, HIIT endurance, and body composition). Goal progress is marked on track when the metric is above 50 percent, and the UI updates immediately when CSV values change, illustrated by updating Endurance and filtering HIIT. The dashboard also computes streaks, recovery scores, personal records, training volume, and week trends to refresh visuals across the KPI pages.