🧠 Personality Predictor - Introvert vs Extrovert

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

🔗 Live Demo

👉 Click to Try the App

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📌 Features

• Takes in 4 simple inputs:

  • Social event attendance
  • Frequency of going outside
  • Social media post frequency
  • Friends circle size

• Predicts personality type: Introvert 🪫 or Extrovert 🎉

• Built with:

  • Python 🐍
  • Scikit-learn
  • Streamlit
  • Joblib

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🧪 Dataset Info

• Source: Kaggle Dataset

• 2900 rows × 8 columns

• Preprocessing steps:

  • Converted categorical variables to binary (Yes/No → 1/0)
  • Selected features with positive correlation to target
  • Imputed missing values using SimpleImputer
  • Used Random Forest for classification

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⚙️ How to Run Locally

1. Clone the Repository

git clone https://github.com/your-username/personality-predictor.git
cd personality-predictor

2. Install Requirements

pip install -r requirements.txt

3. Run Streamlit App

streamlit run app.py

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📁 File Structure

├── app.py                # Main Streamlit app
├── personality_model.pkl # Trained Random Forest model
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

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📊 Model Performance

• ✅ Accuracy: 90.3%
• 📈 R² Score: 0.62
• ✔️ Trained using RandomForestClassifier from Scikit-learn

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📄 License

This project is licensed under the MIT License.

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🙇‍♂️ Author

Developed by Anik Chand

🔗 LinkedIn | GitHub