Privacy-Preserving Mental Health Predictor
AI-powered mental health assessment with advanced privacy protection using differential privacy and federated learning
Project Manager: Dr Andy Obumneme Abasili
Start Assessment Learn MoreAbout This Project
AI-Powered Analysis
Advanced machine learning algorithms analyze mental health indicators based on validated clinical scales (PHQ-9, GAD-7)
Privacy First
Differential privacy, federated learning, and homomorphic encryption ensure your data remains completely private
Personalized Care
Receive personalized mental health interventions and recommendations tailored to your specific needs
Mental Health Assessment
Privacy & Security Features
Differential Privacy
Mathematical guarantee that individual data cannot be identified. Noise injection protects your privacy while maintaining model accuracy.
- DP-SGD algorithm implementation
- Epsilon = 1.0 (strong privacy guarantee)
- Delta = 1e-5 (privacy budget)
Federated Learning
Your data never leaves your device. Model training happens locally, only encrypted model updates are shared.
- Local model training
- Encrypted gradient aggregation
- No raw data transmission
Homomorphic Encryption
Computations performed on encrypted data without decryption. Results remain encrypted until you decrypt them.
- End-to-end encryption
- Computation on encrypted data
- Client-side decryption only
HIPAA Compliance
Full compliance with healthcare data protection regulations including HIPAA and GDPR.
- Data anonymization
- Secure data storage
- Audit logging
Your Assessment Results
Mental Health Risk Assessment
Depression (PHQ-9)
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Anxiety (GAD-7)
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Overall Risk
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Personalized Recommendations
Important Notice
This assessment is not a diagnostic tool. If you are experiencing severe symptoms or thoughts of self-harm, please contact a mental health professional immediately or call a crisis hotline.
Crisis Resources:
- National Suicide Prevention Lifeline: 988
- Crisis Text Line: Text HOME to 741741
- International Association for Suicide Prevention: Find Your Country
Complete the assessment above to see your results
About the Project Manager
Dr Andy Obumneme Abasili
Project Manager & Lead AI Researcher
PhD in Information Technology | Cloud Solutions Architect | AI/ML Specialist
Jabez Grace CloudTech Solutions Ltd
Specializing in AI-powered healthcare solutions with privacy-first architecture