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Facial Personality Profiling CNN

A deep learning project using Convolutional Neural Networks to predict personality traits from facial features.

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Project Gallery

The gallery below showcases the model's visualizations and live testing results from our Berlin Workshop, where users interacted with the system in a real-world setting. Use the arrows to navigate.

CNN model visualization 1
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About the Project

This end-to-end Machine Learning application predicts "Big Five" personality traits (OCEAN) by analyzing facial biometric data. The system utilizes a custom Convolutional Neural Network (CNN) to map facial micro-features to psychological profiles.

Key Features:
• Biometric Analysis: Processes 64x64 facial inputs to detect traits: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism.
• Real-time Inference: A React-based frontend communicates with a Flask REST API for instant scoring.
• Trait Classification: Categorizes results into High, Moderate, or Low intensity for each trait.

Technical Stack:
• ML Framework: TensorFlow, Keras (CNN), NumPy
• Backend: Python (Flask)
• Frontend: React.js