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What Inputs are Required?
Everything You Need to Know About Face-to-BMI Analysis API
The Face-to-BMI API is a cutting-edge solution transforming how wellness and health data is captured—no more manual inputs or physical tools. Instead, a user simply uploads a selfie and, within seconds, receives insights into their estimated BMI, gender, and age.
This breakthrough API opens the door to contactless health profiling for industries that want to deliver intelligent, non-intrusive assessments, especially when in-person evaluation isn’t feasible.
How It Works in Detail
- User Upload: The user provides a selfie or face photo.
- Facial Detection: The API detects facial landmarks (eyes, nose, jawline, etc.).
- Feature Extraction: Facial metrics such as width, symmetry, skin tone, and face ratio are analyzed.
- AI Analysis: Using a trained model on thousands of BMI-tagged facial images, the system compares the user’s facial geometry to estimate a likely BMI range.
- Demographic Detection: Age and gender are also inferred using deep learning models trained on verified datasets.
- Result Delivery: The API responds with structured data—ideal for dashboards, apps, and reports.
Why Facial-Based BMI Estimation Matters
- No Physical Devices Needed: Ideal for remote assessments.
- Frictionless UX: One image replaces lengthy questionnaires.
- AI-Powered Insight: Based on extensive and diverse datasets.
- Scalable: It can handle thousands of face-based health checks daily.
Feature Summary
- Estimate BMI range using only a face photo
- Return estimated gender and age bracket
- No weight/height entry required
- Results in <2 seconds per image
- Easily embedded into web/mobile platforms
Industry Benefits
Health & Fitness
Provide first-time users an instant health profile without physical intake.
Telehealth
Support diagnosis and prescriptions with auxiliary lifestyle data.
Insurance
Digitally underwrite or triage applicants in seconds.
Research
Use as a scalable tool for population-level studies or early-stage health screenings.
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