Longevity & Metabolic Assessment — Longevity Analysis (Odiosoft Face Analysis) is an AI-powered, contactless digital health assessment platform that combines frontal and lateral profile photos with a short voice recording to produce biological age, overall longevity score and a metabolic risk profile. While a metabolic and functional profile is derived from the face image, the acoustic properties of voice yield neurological, respiratory and autonomic nervous-system indicators.

Subtle structural and tissue changes in the face (skin hydration, elasticity loss, oxidative stress, periorbital signs, jawline/neck) and lateral-profile anatomical landmarks (cervical angle, hyoid position, retrognathia) are well-documented visual biomarkers of longevity and metabolic health. The system quantifies these signatures through image processing and large language model (LLM) inference.

Core Capabilities

• 12 frontal + 6 lateral parameters + 5 voice-biomarker metrics = 18+ parameters
• Biological-age estimate, overall longevity score (0-100) and aging-speed indicator
• Cardiovascular, diabetes and OSAS risk scores + metabolic-risk classification
• Device-independent: runs with only a phone/tablet/PC camera and microphone

The platform combines image processing with multimodal large language model inference. Frontal and lateral profile images are sent to a vision-LLM together with the patient's demographic data; the voice recording is processed in real time in the browser to extract acoustic features (F0, jitter, shimmer, HNR) and interpret them clinically.

Workflow

• Frontal + lateral profile photo upload and short voice recording (5+ s)
• Images uploaded to secure cloud; vision-LLM evaluates image + demographic data together
• Voice processed in browser; F0, jitter, shimmer, HNR features extracted
• Per-parameter 0-100 score, category and clinical commentary produced
• Longevity score, biological age and risk scores (cardiovascular/diabetes/OSAS) computed

Software-Centric Architecture

The analysis provides multi-layered parameters across frontal, lateral and voice-biomarker groups. Each parameter is reported as percentage (0-100), description and severity; the overall longevity score and biological-age estimate are weighted derivatives.

Output Format

• Per parameter: percentage, description, severity, category
• Summary: longevity_score, biological_age, aging_speed
• Cardiovascular/diabetes/OSAS risk scores + metabolic-risk classification
• Printable full report (PDF) and date-based comparative trend

The voice biomarker module extracts acoustic features — fundamental frequency (F0), jitter (period variability), shimmer (amplitude variability) and HNR (harmonics-to-noise ratio) — from a short voice recording to produce neurological, respiratory and autonomic indicators. These features are well documented in the voice-based health-biomarker literature.

Interpretation & Safety

• Scores are based on AI acoustic analysis; not a diagnosis
• Reliability drops for low-quality recordings
• Clinical commentary supports physician assessment, no prescription
• Per-patient data isolation (RLS) and KVKK/GDPR compliance

As a screening and pre-triage tool, the platform supports clinical workflows. The longevity score and metabolic-risk mapping provide the physician with structured, reproducible and comparable data. The final diagnosis and treatment decision always belongs to the specialist physician.

Safety Architecture (Human-in-the-loop)

• AI output is not a diagnosis; it informs the physician's assessment
• High-risk metabolic findings warrant specialist consultation
• AI commentary contains no prescription/treatment recommendation
• KVKK/GDPR-compliant sensitive-data approach and per-patient data isolation

Integration Scenarios

The software-centric architecture aligns with EU carbon-reduction and ESG goals. Hardware independence brings medical-consumable use close to zero and reduces the carbon footprint from patients' physical travel through tele-health.

Roadmap

The following studies establish the clinical validity of face-based longevity/metabolic biomarkers and voice acoustic biomarkers. Longevity Analysis is inspired by this literature; it is not a replacement for it.