My - Accepted! - Playground for the WWDC21 Swift Student Challenge. Get the best advice on managing your ADHD, depending on your personality. This project is not a medical tool nor medical advice.

PHP MYSQL

Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).

Quizzaro The Personality Quiz

Comparative Study and Implementation of Five Factor Model and Myers-Briggs Type Indicator Model 

A Swift package for generating and managing simulated human-like personalities

A Single Page Application for assessing the big five traits using the International Personality Item Pool 100-item (IPIP)

A framework that allows users who tweet in Turkish to get an estimation of their Big Five OCEAN Personality scores via their tweets.

An application that helps one determine their traits based on questionnaires or a brief description of themselves. It is created using Django and React. It uses the sentino API.

Here I developed a machine learning model for predicting personality traits. It analyzes personal behavior data and uses algorithms like KNN, Logistic Regression, Decision Tree to classify individuals based on traits. It automates the personality assessment process, providing insights for social media, advertising, and recruitment.

RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications

IPIP-NEO 🌊 Big Five datasets with versions 120 and 300 with calculated scores.

ML model for personality trait recognition using structural metrics of Twitter tweets. Gold in Poster Presentation, DLSU Senior High Research Congress

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.

A go package providing a simplified five factor model with traits expressed based on customisable rules.

A machine learning-based career prediction system that analyzes personality traits (OCEAN model) from CSV data or video interviews to recommend multiple career roles. Supports Random Forest, SVM, KMeans, and facial emotion analysis with DeepFace.

Master-thesis: A glimpse through the lens of ostracism – Preferences for and inferences about facial personality traits following ostracism

R Package for Personality Testing