In this project, I have implemented a NLP based ML model to classify the given input as 1 out of the 16 distinct MBTI personalities.

From the given database Find out the personality using this personality traits. Applications in psychology Factor analysis has been used in the study of human intelligence and human personality as a method for comparing the outcomes of (hopefully) objective tests and to construct matrices to define correlations between these outcomes, as well as…

This is a Personality Prediction Project with a web UI.

Won 2nd prize in HackUIET hackathon and best project in AI theme

Personality Prediction based on Big 5 Model. Uses Multinomial Logistic Regression for Classification and Tailwind, Flask for web interface.

Personality Prediction App with GloVe-CNN Models

Predict personality traits via social media behavior despite digital footprint challenges. Considers social media activities as potential reflections of personality.

MBTI personality detection in Turkish Language

B.Tech. Final Year Project

My telecommunications engineering bachelor thesis on 'Big data analytics to assess personality based on voice analysis' was a project in collaboration with AUDIAS-UAM researching team and UAM's faculty of Psychology. Data was confidential so it was not uploaded

Personality Prediction Semester Project

This repository contains recommendation system for dating apps based on personality evaluation by automatic question generation and sentiment + zero shot classification and user embeddings based on swipe history, made with FastAPI, validated by Pydantic Models

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.

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.

To develop a machine learning model that can accurately predict an individual's scores on each of the Big Five personality traits based on their responses to a standardized personality assessment questionnaire using PCA and K-Means.

This repository contains data and code to replicate experiments of author profiling using new type of features

A machine learning model that uses PCA and K-Means to analyze responses of an individual to a standardized personality assessment questionnaire in order to accurately predict their scores for each of the Big Five personality traits in the OCEAN model.