This project is a machine learning–based web application that predicts a person's personality type (Extrovert, Ambivert, or Introvert) using behavioral traits.
It uses Logistic Regression, achieving 98% accuracy on a curated personality dataset, and provides an interactive Streamlit interface for predictions.
- Algorithm: Logistic Regression
- Accuracy: 98%
- Frameworks: Scikit-learn, Streamlit
- Language: Python
- Data: Synthetic personality dataset with 20,000 samples
- Predicts personality type from multiple behavioral and emotional traits
- Interactive sliders for real-time user input
- Radar chart visualization of your personality profile
- Lightweight and easy to run locally
git clone https://github.com/uday-codes69/Personality-Finding-ML-Model.git cd Personality-Finding-ML-Model
Run the Streamlit App ~
streamlit run personality.py