NURA continuously monitors your vital signs and uses machine learning to identify panic crises before they occur.
Continuous tracking of heart rate, accelerometer, and gyroscope using your smartwatch sensors.
LSTM-based machine learning model trained on your personal data to recognize early warning signs and predict panic episodes.
Automated escalation system that can alert emergency contacts, healthcare providers, or emergency services when needed.
NURA leverages cutting-edge machine learning and real-time processing to provide accurate, personalized panic attack prediction and intervention.
Long Short-Term Memory networks analyze temporal patterns in your biometric data for accurate predictions.
Seamless integration across WearOS, React Native mobile app, and web dashboard for comprehensive monitoring.
ElysiaJS backend with Bun runtime ensures ultra-fast processing and immediate response to critical situations.
Strategic Vision
Daniel Dueñas
Agile Leadership
Joaquín Véliz
Brand Strategy
Tiril Sjøberj
AI Infrastructure
Joaquín Torres
System Architecture
Sebastián Torrealba
User Experience
Gabriel Apablaza
Quality Assurance
Myckoll Winchester
Your health data is protected with enterprise-grade security, and all medical information requires official verification.
This is a university research project developed for educational purposes. All data collection and analysis follows academic research standards and ethical guidelines for student projects.
End-to-end encryption, compliance with Chilean Law No. 20.584, and local data processing ensure that your sensitive health information remains secure and private at all times.