Disclaimer: This is an independent academic and engineering research project inspired by the concepts of Objective Personality. This site is not affiliated with, endorsed by, or officially connected to ObjectivePersonality.com, its founders, or its business. All trademarks and references belong to their respective owners.
What is this?
Objective Personality (OP)
is a framework for describing recurring human behavior patterns under stress and uncertainty.
This project explores how AI can support objective observation of those patterns by assisting the operator in noticing blind spots, biases, and overlooked signals.
We are developing a local, multimodal AI assistant that acts as a second observer during interviews and conversations.
The system helps with triangulation by suggesting hypotheses and highlighting key moments in the client's statements.
The assistant helps identify areas that the operator might miss due to fatigue, subjectivity, and projection.
Why?
Human perception is inherently subjective. Even trained professionals are affected by fatigue, projection, confirmation bias, and their own behavioral patterns.
OP provides a language for noticing these dynamics, but applying it consistently is difficult at scale.
The goal of this project is not to type people at scale, but to increase objectivity in high-stakes human interactions.
By supporting operators with a neutral, always-on observer, we aim to reduce blind spots, improve calibration, and create safer environments for insight, responsibility, and growth.
Operator Support: Build AI tools that assist human operators.
Triangulation: Use multimodal signals (text, voice, video) to surface alternative hypotheses.
Bias Reduction: Help detect projection, overfitting, and missed cues in human judgment.
Evidence-Aware AI: Provide transparent signals and references instead of opaque conclusions.
Privacy by Design: Ensure sensitive data never leaves the local machine using privacy-preserving ML.
Our Works
We're actively building the foundation of our AI toolset, gathering the data necessary for training, experimenting
with various machine learning models, and building the privacy component. See progress.
3. AI Typing Platform
2024-03-21 → ongoing
Developing a web-based tool to analyze personality types from video interviews using state-of-the-art multimodal AI models.
Combines facial expressions, voice features, and transcript segments to generate predictions across 11 binary Objective Personality coins.
Implements user-facing video upload pipeline, feedback and validation interface, and automatic backend inference using fine-tuned models.
Currently supports clip sampling, whisper-based diarization, and facial emotion detection integrated into cloud-hosted inference services.