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

A Streamlit web app that predicts whether a person is an introvert or extrovert based on behavioral data using a Random Forest classifier.

Machine Learning project for Kaggle Playground Series S5E7 – Predicting personality types (Introvert vs Extrovert) using behavioral features. Includes EDA, model training (SVC, Gradient Boosting, Decision Tree), and leaderboard submission.