GRADIENT BOOSTING · SKLEARN · LIVE INFERENCE

YOUR BODY.
YOUR FUEL.

Biometric input → Python ML model → complete nutrition protocol. Calories, macros, micros, supplements, food sources — all predicted, not hardcoded.

MODELGradientBoostingRegressor

TRAINING SAMPLES5,000

FEATURES10

OUTPUTS26 targets

FRAMEWORKscikit-learn

GROUND TRUTHACSM / WHO / Sports Nutrition Guidelines

01 — Biometrics

Age

Gender

Weight (kg)

Height (cm)

02 — Activity & Goal

Activity Level

Primary Goal

03 — Context

Diet Type

Health Focus

Known Deficiencies

BODY ANALYSIS

—

Body Mass Index

Target Calories

—

kcal / day

ML predicted

Protein

—

g / day

ML predicted

TDEE

—

kcal / day

ML predicted

Deficit / Surplus

—

kcal / day

—

ML MODEL ASSESSMENT

—

MACRO BREAKDOWN

🥩 Protein

—g

🍚 Carbohydrates

—g

🥑 Fats

—g

💧 Water

—L

Caloric Distribution

FOOD SOURCES

MICRONUTRIENTS

Nutrient	Daily Target	Best Sources	Priority

SUPPLEMENT PROTOCOL

YOUR BODY.YOUR FUEL.

YOUR BODY.
YOUR FUEL.