Personality-Prediction-System-using-Video-CV-Analysis

A multimodal system that predicts personality traits from video CVs using computer vision and deep audio analysis, enabling real-time, unbiased, and scalable personality assessment for hiring, smart applications, and digital interactions.

Features

Multimodal Analysis: Integrates visual and auditory data for comprehensive personality assessment. Real-time Processing: Provides immediate feedback suitable for virtual interviews and smart applications. Bias Reduction: Minimizes reliance on self-reported questionnaires, reducing potential biases.​

Getting Started

Prerequisites

--->Python 3.10 version

--->Tensorflow 2.19 version

--->Visual Studio Code with the Python extension​

Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/personality-prediction.git
   cd personality-prediction
   

2. Create a Virtual Environment:

   python -m venv venv
   

3. Activate the Virtual Environment:

   Windows (Command Prompt):

   venv\Scripts\activate.bat
   

   macOS/Linux:

    source venv/bin/activate
   

4. Run the Application:

   python app.py
   

Usage

Once the application is running, you can upload a video CV. The system will process the video to analyze facial expressions, body language, and vocal tones, subsequently predicting personality traits based on the extracted features.​