🧠 psy-geek

Personality Analysis Using 16PF

📌 Overview

psy-geek is a personality analysis tool that leverages the 16 Personality Factor (16PF) model to assess individual personality traits. The project integrates a machine learning backend with a user-friendly frontend interface, allowing users to input data and receive personality assessments.

🧰 Features

• 16PF-Based Analysis: Utilizes the 16PF model for comprehensive personality assessment.
• Machine Learning Integration: Employs a Random Forest classifier (my_random_forest.joblib) for predictions.
• Frontend Interface: Provides an interactive user interface for data input and result visualization.
• Modular Architecture: Separates concerns with distinct frontend/ and backend/ directories.

🗂️ Project Structure

psy-geek/
├── backend/                # Backend logic and API endpoints
├── frontend/               # Frontend interface (HTML/CSS/JavaScript)
├── my_random_forest.joblib # Pre-trained Random Forest model
├── .gitignore              # Git ignore file
└── README.md               # Project documentation

🚀 Getting Started

1. Clone the Repository:

   git clone https://github.com/PALLADIUM26/psy-geek.git
   cd psy-geek

2. Set Up the Backend:

   cd backend
   pip install -r requirements.txt
   py app.py

3. Set Up the Frontend:

   • Navigate to the frontend/ directory.
   • Open index.html in a web browser or serve it using a local server.

4. Access the Application:

   • Interact with the frontend interface to input data and receive personality assessments.