FITA: AI Body Composition Scan

Analyze your body composition with just one selfie.
Get accurate body fat percentage, muscle mass, and FFMI instantly.
Research-backed high accuracy (0.685% error rate).

Get Started See Accuracy

How It Works

Get your body composition analysis in two simple steps

Step 1: Take a Selfie

Follow the on-screen guidelines to position yourself correctly. Stand within the guideline frame and follow the posture instructions. No special equipment needed—just your smartphone camera in good lighting.

Step 2: Get Instant Results

Our AI analyzes your image and provides detailed body composition metrics instantly. See your body fat percentage, muscle mass, FFMI, and more in seconds—no waiting required.

What You'll See

Comprehensive body composition analysis in two views

Quick View

Your body photo with key metrics overlay. See your body fat percentage, muscle mass, and FFMI at a glance alongside your body image for instant visual feedback.

Instant Overview

Detailed Analysis

In-depth breakdown with historical trends and personalized insights. Track your progress over time with comprehensive metrics including body fat percentage, skeletal muscle mass, FFMI, BMI, basal metabolic rate, and recommended calorie intake.

Learn About Each Metric

Research-Backed Precision

Validated accuracy through internal research

0.685%

Error Rate (MAE)

Validated against professional body composition analyzers including BIA (InBody) and DEXA through internal research. Our model achieves 0.685% mean absolute error, demonstrating high accuracy in real-world conditions.

Read Research Paper

Advanced Deep Learning

FITA Body Scan uses dual specialized deep learning models optimized for different body fat ranges. The system combines visual analysis from smartphone photos with BMI data to achieve accurate results across all body types.

Trained on over 3,300 validated samples and powered by EfficientNet-B5 architecture for reliable body composition estimation.

Based on peer-reviewed research: "Smartphone-Based Body Fat Estimation Using Dual Specialized Deep Networks with Adaptive Fusion of Image and BMI" (2025)