VisionAuth - Real-time Face Analysis System

A modern, web-based face analysis system that detects human faces and provides real-time emotion and age analysis based on facial expressions.

🌟 Features

• Real-time Face Detection: Uses MediaPipe for accurate face detection via webcam
• Emotion Detection: Detects 7 emotions (Happy, Sad, Neutral, Surprised, Angry, Confused, Disgusted)
• Age Estimation: Estimates approximate age based on facial features and expressions
• Gender Recognition: Estimates gender from facial characteristics
• Expression Analysis: Analyzes facial expressions in real-time
• Modern UI: Beautiful, responsive design with smooth animations
• Real-time Updates: Continuous analysis as facial expressions change

🚀 Live Demo

Visit the live website: VisionAuth on GitHub Pages

🛠️ Technologies Used

• HTML5: Modern semantic markup
• CSS3: Advanced styling with gradients, animations, and responsive design
• JavaScript (ES6+): Modern JavaScript with classes and async/await
• MediaPipe: Google's face detection library
• TensorFlow.js: Machine learning capabilities for face analysis

📁 Project Structure

VisionAuth/
├── index.html          # Main HTML file
├── styles.css          # CSS styling
├── script.js           # JavaScript functionality
├── README.md           # Project documentation
└── LICENSE             # License file

🔒 Privacy & Security

• No Data Storage: No face data is stored or transmitted

• Real-time Only: All analysis happens in real-time without saving

• Camera Access: Only requests camera access when needed

• HTTPS Required: Modern browsers require HTTPS for camera access

• Check the troubleshooting section

• Ensure your browser supports all required features

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Note: This is a demonstration project focused on real-time face analysis. For production use, consider implementing more robust emotion and age detection algorithms.