Spend time with the people you care about. Introvert-tested. Extrovert-approved.

Synthetic dataset and notebooks for introvert vs. extrovert personality modeling (privacy-safe, ML-ready).

(All-in-One Concept Coverage)

A full-stack web application that predicts personality type (introvert, extrovert, or ambivert) using AI/ML models. Built with Next.js (frontend) and Python FastAPI (backend).

A one-page app to test if you are an introvert or an extrovert person. Frontend built with React&Redux and the backend built with Django&Django Rest Framework.

This model predicts a user's personality type (Introvert or Extrovert) based on the user's posts on Reddit.

A Python script that uses a machine learning classification model to predict whether a person is an introvert or an extrovert based on behavioral input data.

This model predicts your personality that is weather you are an Introvert, Extrovert or Ambivert by taking simple 29 features to Predict.

A fun and interactive web game built with JavaScript to determine if you are more of an introvert or extrovert. Answer a series of questions and get immediate feedback on your personality type. Perfect for quick self-discovery and sharing with friends!

<WORKING BUT UNFINISHED WORK IN PROGRESS> is an open-source application from https://sourceforge.net/projects/depression/ that is originally developed in Visual Basic. Our version is ported over to web using HTML/CSS with additional tests for malnutrition, introvert/extrovert, and sleep deprivation. We added these additional tests because they seem to have an influence over one another. We also added a health correspondence layer that currently sort of works the way we wanted (more will be done to this layer to make it work properly). The health correspondence layer currently works with each test by taking the geolocation of the user that submitted a test and auto-querying "doctor" using Google Maps Places Library API to fetch the locale of nearby health professionals. MAKE SURE TO USE SERVER HOST FOR GOOGLE MAPS

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Introvert-vs.-Extrovert-Classifier-using-ML Project

Desarrollo de un modelo de clasificación para predecir personalidades introvertidas/extrovertidas a partir de un cuestionario, logrando un Score de 0.9757 en la tabla de clasificación mediante preprocesamiento avanzado y ensamblado de modelos.

Program untuk menentukan introvert atau extrovert sebagai pemenuh tugas mata kuliah SBP Deploy : https://septaadinugroho.github.io/introvert-vs-extrovert-test/

An exploratory data science and machine learning project focused on predicting an individual's personality type (introvert or extrovert) based on behavioral data.

Machine learning pipeline for predicting personality type (Extrovert vs Introvert) , Covers cleaning, feature extraction, univariate & bivariate analysis, data preprocessing , and testing multiple models before selecting a high-accuracy StackingClassifier ensemble

Predict introvert or extrovert personality types using deep learning based on social and behavioral traits. This project is part of a Kaggle Playground challenge and includes data analysis, preprocessing, and model development in a Jupyter notebook.

A machine learning project that classifies individuals as Introvert or Extrovert based on behavioral and social interaction data. The project uses Decision Tree model with a well-preprocessed dataset and achieves strong classification performance (~87% accuracy).

Introverts and Extroverts

Kaggle Playground S5E7 - Predicting Introverts vs Extroverts using Random Forest

HarunDemircioglu11/Predict_Introvert_Extroverts

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Playground Series - Season 5, Episode 7

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Using machine learning skills to predict whether a person is an Introvert or Extrovert, given their social behavior and personality traits.

Kaggle ML project to predict Introverts vs Extroverts using behavioral traits. Models used: Logistic Regression and Random Forest.

Personality classifcation using Kmeans elbow meathod Introvert - Extrovert

a model to predict if you are an extrovert or introvert!

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