Futuristic fitness intelligence

Immersive frontend shell, unchanged Flask prediction core.

Realtime scoring Story-driven analytics Progress memory
Realtime prediction lab
Live model feedback Interactive cockpit Unchanged `/predict` contract

The fitness command center.

Keep the same prediction payload, scoring engine, planner, export, and save-to-progress flow, but present them as a premium reactive cockpit with layered telemetry, clearer signal hierarchy, and smoother transitions.

Core
Ready
Latency
-- ms
Signal
Awaiting data
Target gap
-- pts
Predictive layerRealtime
Signal railsLive control
Signal intake Fine-tuned input rail

Controls stay lightweight and readable while the surrounding shell adds depth and focus.

Result core Animated score centerpiece

Score, reliability, target gap, planner outputs, and charts transition as one synchronized response state.

Decision layer Actionable next moves

Suggestions and validation messages remain intact but are framed like mission advisories instead of raw text.

Input Parameters
Age30
Gender
Weight70
Height1.75
Max BPM175
Avg BPM140
Resting BPM65
Body Fat %20
Workout Type
Duration1.00
Calories600
Frequency3
Water2.5
Experience
BMI
22.9
Target Practical Score70
0%
0.0
-
Fitness Level
-
Lifestyle
-
Reliability
-

Run a prediction to populate score context.

Current
0.0
Target
70.0
Gap
0.0
Fastest ETA
--
Realtime loop Every slider movement becomes a guided system response

Latency, goal gap, validation state, and opportunity ranking respond without any backend contract changes.

Operator clarity Dense data, cleaner hierarchy

The shell now emphasizes what changed, why it matters, and what to do next.

AI Suggestions

0

Input Quality

0

Goal Planner

0

Opportunity Chart