What is Personality Recognition Technology (PRT)?

PRT is an advanced AI system that analyzes subtle, objective facial features to produce a data-driven personality profile. It uses more than 4,000 facial data points and patented deterministic AI to generate accurate, unbiased insights in seconds.

How does PRT work?

Short answer:

PRT captures a neutral facial image and converts it into a one-way digital vector.
From there, machine learning models—trained on millions of images—predict personality patterns based on well-established psychological frameworks such as the Big Five (OCEAN) and validated psychographic models.

 

Longer answer:

PRT uses a two-stage neural architecture:
Stage 1: Computer Vision Neural Network (CVNN)

• Converts a 2D facial image into a 128-dimensional invariant facial vector

• Removes image factors such as angle, lighting, expression, and noise

• Ensures one-way vectorization so the face cannot be reconstructed

Stage 2: Personality Diagnostics Neural Network (PDNN)

• Maps facial invariants to Big Five traits, values, temperament, and behavioral markers

• Uses multilayer perceptions trained on hundreds of thousands of labeled samples

• Produces >100 psychographic scores including facets, values, motivation structures, and role-based behavioral classifications

 

What scientific research supports PRT?

PRT is grounded in:

• 3,500+ peer-reviewed studies on facial morphology, genetics, and personality.

• A demographic spread across multiple ethnicities, age groups (16–75), and cultural backgrounds A demographic spread across multiple ethnicities, age groups (16–75), and cultural backgrounds.

• Decades of research on non-verbal behavioral signaling.

• The global scientific standard for personality measurement: the Big Five.

• Large-sample AI studies proving that personality traits can be predicted from static facial images.

• A proprietary dataset containing over 200,000 subjects and 5+ million processed photos. This represents one of the largest datasets ever used for psychographic modeling.

 

How accurate is PRT?

PRT produces personality profiles with up to 85% accuracy, significantly higher than many self-report questionnaires.
Additionally, the system analyzes over 2 billion data points in under a second, providing consistency and reliability that human judgment cannot match.

Accuracy varies by trait and demographic, but typically reaches:

• Big Five accuracy: up to 85%

• Facet-level accuracy: 89–91%

• Self-esteem & values accuracy: 90%+
  This exceeds typical self-report reliability for many psychometric tools and significantly reduces subjective bias.

 

Does PRT store my photos?

No.
All images are immediately encoded using a one-way mathematical transformation and deleted. Only anonymized vectors remain. The system cannot reconstruct your face, identity, or personal data.

Can PRT identify me or track me?

No.
PRT is not a facial recognition tool. It does not compare faces, search databases, or store biometric identity data.

 

How does PRT handle user images?

• All images are vectorized and deleted immediately.

• Image data cannot be reconstructed once encoded.

• Only anonymized mathematical representations remain.

• No biometric identity matching or storage occurs.

 

Is PRT biased?

PRT is designed to reduce human bias, not amplify it.
Training data includes a broad demographic range across age, gender, and ethnicity. Psychological models used (like the Big Five) are non-discriminatory and globally validated.

 

How is bias minimized in the PRT system?

Bias mitigation includes:

• Large, stratified, demographically diverse training data

• No use of race, ethnicity, or demographic identity as predictive inputs

• One-way vectorization preventing identity correlation

• A focus strictly on psychological variables, not socioeconomic or cultural attributes

• Continuous cross-demographic validation

 

What can PRT be used for?

PRT supports a wide range of applications, such as:

• Talent assessment and recruitment

• Team building and workforce development

• Customer psychographics

• Self-awareness and personal development

• Behavioral insights for communication, engagement, and leadership

 

Can PRT replace human assessment?

PRT is not intended to replace human judgment but to augment it.
It provides fast, objective insights that can help organizations make better, more informed decisions while reducing bias and improving efficiency.

It supplements it by providing:

• Objective baseline personality data

• Bias-reduced insights

• High-speed, consistent evaluation

• Greater granularity across more personality dimensions than human raters can reliably assess

PRT is a scientific decision-support tool, not a replacement for human evaluation.

 

Is PRT ethical?

Yes.
PRT follows strict guidelines:

• No storage of personal images

• No identity tracking

• Compliant data handling

• Focused exclusively on personality insights, not physical traits or social categories

• Transparent methodology grounded in validated science

 

What makes PRT different from traditional personality tests?

• No questionnaires

• No self-report bias

• No social desirability distortion

• Faster: results in seconds

• More consistent and objective

• Based on facial data rather than subjective answers

 

What scientific principles are PRT based on?

PRT integrates findings from four converging scientific domains:
(a) Personality Psychology: Temperament, Big Five (OCEAN) character traits, Personal Values, Self‐esteem level and aspiration, Role‐based behaviour segmentation, Professional Orientation, Consumer Behaviour (Values and Lifestyle, Confidence, Risk taking and more...)

(b) Behavioral Genetics: Research shows that personality traits have heritability estimates of 30–60%, and facial morphology is also genetically influenced.
(c) Endocrinology & Developmental Biology: Hormonal exposure (e.g., testosterone, estrogen, GH/IGF pathways) shapes craniofacial development and is linked to behavioral tendencies.
(d) Computer Vision & Machine Learning: Deep neural networks process ~4,000 facial landmarks and ~2 billion data points per scan to identify stable morphological patterns correlated with personality traits, using established advanced machine vision such as rPPG now endemic within medicine.

 

What evidence exists that facial morphology correlates with personality traits?

More than 3,500 peer-reviewed studies across psychology, neuroscience, biometrics, and behavioral science support measurable associations between:

• Static facial features

• Hormonal markers

• Craniofacial ratios (e.g., fWHR)

• Neural and genetic correlations

• Big Five personality structures

Large-scale ANN studies have demonstrated statistically significant prediction of all Big Five traits using static facial images (e.g., Scientific Reports, 2020 – N=12,447 participants, 31,367 images).

 

What ensures the scientific validity of the personality outputs?

Key validation criteria include:

• Construct Validity: Models mapped to the FFM, a universally accepted psychometric structure.

• Convergent Validity: Correlations between predicted scores and self-report FFM scores.

• Test-Retest Reliability: High ICC values showing stable predictions across multiple images.

• Cross-Sample Replicability: Evaluated on large independent test datasets.

• Predictive Validity: Behavioral predictions match observed outcomes in occupational and developmental studies.

 

What biological mechanisms link facial development and personality?

Research highlights several pathways:

• Genetic Pleiotropy: Single genes influence both craniofacial structure and neural development.

• Prenatal Hormones: Testosterone and estrogen shape both bone structure and behavioral tendencies.

• Neural–Facial Correlation: Brain regions correlated with personality traits (e.g., OFC, MFG) are developmentally linked to craniofacial structures.

• Endocrine Cycles: Hormone-driven muscle and soft tissue changes influence facial tension, asymmetry, and shape.

PRT operates at the level of patterns and correlations, not assumptions of causality.

 

Why is PRT fundamentally different from pseudoscience and why is it validity backed by real research?

Short answer:

PRT is built on modern genetics, psychology, neuroscience, and computer vision, not outdated ideology. Traditional pseudosciences relied on subjective interpretation and racial bias. It’s applying modern AI to decades of validated psychological science, genetic evidence, and behavioral research — at a scale no human assessor could match.

 

Longer answer:

1. PRT is built on established psychology, not speculation.
   It uses 5 gold standard psychological models amongst which is the Five Factor Model (Big Five) — the globally accepted scientific baseline for measuring personality used in thousands of peer-reviewed studies.

2. It relies on modern genetics, neuroscience, and machine learning — not assumptions.
   Decades of research show that facial morphology is influenced by genetics, hormones, and neurobiological development. These same factors also influence personality. PRT works by detecting these objectively measurable traits, not by making value judgments.

3. The system is trained on massive datasets, not opinion.
   Over 200,000 test subjects, 5 million photographs, and 100 million data points were used to train the neural network — making it one of the largest scientific samples ever applied to psychographic modeling.

4. Multiple independent fields support the connection.
   More than 3,500 peer-reviewed studies across psychology, genetics, advanced computer vision (rPPG), and behavioral science show measurable correlations between facial features, emotional signaling, and personality traits.

5. PRT does not store or reverse-engineer identity.
   Once images are converted into one-way mathematical vectors and then deleted, ensuring the system reads traits — not identity — and cannot be traced back to any person.

6. Most importantly: PRT is not claiming perfection — only statistically measurable accuracy.
   Current accuracy is up to 85% in predicting personality values, which is significantly higher than self-report questionnaires (subject to bias) and even trained psychologists in some contexts.