Personality prediction from Human Connectome Project fMRI data using BrainNetCNN deep learning model (Kawahara et al. 2016). Project with Dr. Johann Kruschwitz, Division of Mind and Brain at Charite Medical University

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

Utilizing machine learning algorithms to predict various features of Facebook users such as gender, age and personality traits on the Big Five Personality Model. Age and gender prediction is treated as a classification task while personality prediction is treated as a regression task. Many machine learning algorithms like naive bayes, perceptron, linear regression and random forest were used to construct an ensemble framework which gave 70% accuracy.

Python code to extract a user's tweets and predict their Myers-Briggs personality type and financial risk tolerance. Uses bag of words model trained using the (MBTI) Myers-Briggs Personality Type Dataset to make predictions.

This is my first Machine Learning project. It deals with creating a Machine Learning algorithm that analyses a person’s personality according to what he or she posts on social media according to Myers Briggs Personality Test.

A big5 personality traits prediction application that processes tweets, generates tweets lexicon, find best fitted model on each personality traits, and calculates the personality traits score of the tweets using the best fitted model.

Personality Prediction based on their personality traits. The project is used to detect the personality (Dependable, Extrovert, Lively, Responsible or Serious) of the person. Personality of the person is compared with previous data based on which the model will detect the personality of the user.

Developed a Machine Learning model based on the Big Five personality theory to predict an individual's personality traits using provided data. Employed logistic regression for prediction and utilized Scikit-learn to train the model. Visualized the results using Matplotlib to gain insights into the data and model performance.

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Customer Personality Analysis Prediction using Machine Learning Model Clustering with Python

Personality prediction of instagram users, using many NLP models, Image Processing models and Multimodeling.

Personality prediction of a twitter user using CNN and word2vec. Model predicts based the BIG-5 personality traits.

Human Personality Prediction from Text using the dataset Myers Briggs Type Indicator. The model used to classify the text is XGBoost Classifier.

Personality Prediction ML: Predict Myers-Briggs types using NLP & ML techniques. Analyze language patterns to classify individuals into 16 personality types. Data preprocessing, feature extraction, and model training. Valuable insights into psychology & potential applications in recommendation systems.

We have created a system using Machine learning Technique to predict the personality with the handwriting. With the piece of blank paper and handwriting, we can predict the personality with the study of graphology. We have done many experiments with different kinds of stuff of machine learning and came up with our own hybrid model which has prediction accuracy up to 100% and it's not an overfit model.

"This model utilizes a CSV file to predict the personalities of multiple individuals simultaneously. I am currently in the process of enhancing its capabilities."

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The project "Prediction Machine" consist in a model of ANN (Articial Neural Network) that predict the personality of peoples in introvert and outgoing

The Personality Prediction project utilizes the OCEAN personality model and the K-means clustering algorithm to analyze and classify individuals based on their personality traits, providing insights into their behavioral patterns and characteristics.

Big Five Personality scale based personality prediction model

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Myers-Briggs Personality Classification with ML algorithms

An LSTM network model for MBTI personality-type prediction

This is the personality prediction project which defines the personality of the user based on the OCEAN personality model

DLP-Personality Prediction: A Noval Prediction Model for Big Five Personality Traits with Multiple Features and Text Data Augmentation（1213）

Repository for the "Personality types and traits - Examining and leveraging the relationship between different personality models for mutual prediction" paper submission for the MDPI Applied Sciences Journal

Builds a basic personality trait prediction model using text analysis in Google Colab. Uses TF-IDF vectors and Naive Bayes.

Personality prediction is a process of using data analysis and psychological models to infer an individual's personality traits, behaviors, and characteristics based on their online activity, social media posts, or other available information.