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…
Won 2nd prize in HackUIET hackathon and best project in AI theme
This is a Personality Prediction Project with a web UI.
Personality Prediction based on Big 5 Model. Uses Multinomial Logistic Regression for Classification and Tailwind, Flask for web interface.
Predict personality traits via social media behavior despite digital footprint challenges. Considers social media activities as potential reflections of personality.
Multimodal AI pipeline to predict Big Five personality traits and assess charismatic leadership using audio, text, and video inputs.
MBTI personality detection in Turkish Language
Personality Prediction Semester Project
B.Tech. Final Year Project
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.
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
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
An exploratory data science and machine learning project focused on predicting an individual's personality type (introvert or extrovert) based on behavioral data.
his repository contains a robust, end-to-end machine learning pipeline for predicting personality types (Extrovert vs. Introvert) from behavioral survey data. The workflow includes advanced data cleaning, missing value imputation, class balancing, feature engineering, model selection, and ensemble learning. Built for the Kaggle Playground Series S.
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 Streamlit web app that predicts whether a person is an introvert or extrovert based on behavioral data using a Random Forest classifier.
Exploratory model to predict MBTI personality types using score-based features only.
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.
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