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.

MBTI Personality Prediction

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.

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In this project, the prediction of MBTI personality type is done with the implementation of NLP and ML algorithms.

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An end-to-end AI pipeline that scrapes LinkedIn profile and post data to predict 16-personality (MBTI) types using a RAG-enhanced LLM fine-tuned with LoRA. It automates data collection, preprocessing, storage in PostgreSQL, and personality inference from real-world behavioral and linguistic patterns.

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.

Text classification model to predict MBTI personality types using user forum data

Mini project to train a model to predict MBTI personality of user

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

MBTI Personality Prediction – Predict users’ MBTI personality types from text using Machine Learning and NLP. Includes code and detailed report for full reproducibility.

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Personality prediction of a person with the help of Machine Learning and NLTK library.

This project predicts a person's Myers-Briggs personality type using Natural Language Processing and Machine Learning techniques. The dataset is preprocessed to handle imbalanced data, and a Flask application is created for easy input and output.

Repository for our Break Through Tech Fall 2025 AI Studio Challenge Project

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The ​Myers-Briggs Type Indicator (​MBTI)​ is a self-report questionnaire designed to identify a person's personality type between 16 possibilities. Our goal is to develop a machine learning model capable of predicting a person's personality type by analyzing their social media posts​ (supervised classification task).

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Machine Learning Project

Text-based Personality prediction for MBTI Dimension

Personality type prediction project using MBTI dataset

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An LSTM network model for MBTI personality-type prediction

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Codes and Description of our solution for QIA-Hackathon2023 - Prediction of MBTI personality from a set user informations

MBTI Personality Predictor – A machine learning web app that predicts your MBTI personality type (INTJ, ENFP, etc.) based on your writing. Built with Python, Scikit-learn, and Streamlit, featuring a deployed live app for interactive predictions.

Code & study comparing ML (Naive Bayes) & DL (LSTM, Bi-LSTM, Bi-LSTM+Attention, DistilBERT) for MBTI personality prediction. Uses GloVe, SMOTE, & attention. Bi-LSTM+Attention achieves 96% accuracy, 13% loss. For NLP & personality research.

Harnessing ML & Neural Network techniques to predict an individual's personality traits based on their Facebook posts and Tweets. This prediction is aligned with the Myers Briggs Type Indicator (MBTI), a widely recognized personality type system that categorizes individuals into 16 distinct personality types.