Meet Your Affective Digital Twin

AuraTwin is an advanced emotional intelligence system that creates a digital representation of your emotional state, helping you understand patterns and improve well-being.

What is an Affective Digital Twin?

A digital twin is a virtual representation that mirrors a physical entity's state and behavior through continuous data synchronization. AuraTwin applies this concept to your emotional life.

By continuously monitoring your facial expressions, AuraTwin creates a dynamic model of your emotional patterns, helping you understand:

How your emotions fluctuate throughout the day
What activities or situations trigger different emotional states
Long-term emotional trends and patterns
Correlations between your emotions and external factors

8 Emotion Categories

😊

Happy

😢

Sad

😠

Angry

😮

Surprised

😐

Neutral

😨

Fear

🤢

Disgust

😒

Contempt

Core Capabilities

Real-Time Emotion Recognition

Advanced CNN-based facial expression analysis processes your expressions in real-time with high accuracy.

Longitudinal Pattern Analysis

Track emotional trends over days, weeks, and months to identify meaningful patterns in your emotional life.

Trigger Identification

Discover what activities, times of day, or situations correlate with different emotional states.

Personalized Insights

Receive tailored recommendations and insights based on your unique emotional patterns and history.

Temporal Modeling

AI-powered predictions help anticipate emotional states and provide proactive recommendations.

Evidence-Based Interventions

Receive scientifically-backed behavioral suggestions to improve your emotional well-being.

Built on Proven Technology

AuraTwin leverages state-of-the-art AI and computer vision research

EfficientNet Architecture

Our emotion recognition engine uses the enet_b0_8_best_afew model, a highly optimized EfficientNet-B0 variant deployed via ONNX Runtime for maximum performance.

•High-performance ONNX Runtime engine
•No heavy dependencies like TensorFlow
•Optimized for AWS t2.micro instances

Hybrid Architecture

AuraTwin uses a four-tier hybrid architecture: a Python desktop client, an AWS FastAPI server for emotion analysis, Firebase Firestore for data storage, and a Gemini AI-powered web dashboard.

Desktop Client — Python app (macOS & Windows) captures facial expressions via webcam and sends data to the server using your App Key.

AWS FastAPI Server — Runs the emotion recognition model on an EC2 instance, then writes results to Firestore.

Firebase Firestore — Stores emotion logs securely in the cloud, linked to your account.

Web Dashboard + Gemini — Displays charts and generates personalized AI well-being reports using Gemini 3.1 Flash Lite.

System Requirements

Supported Platforms

Windows 10 or 11
macOS 12 (Monterey) or later
Built-in or external webcam (720p or higher)
4 GB RAM minimum
Internet connection

Ready to Experience AuraTwin?

Create an account, get your App Key, and start your journey to better emotional awareness.

Get Started