Aura

The virtual health and wellness platform aims to provide a comprehensive solution for individuals seeking personalized health and wellness guidance, support, and resources in a convenient digital format.

License: Apache Software License 2.0

Features

RESTful API: Build and deploy a RESTful API for health and wellness services using Django REST framework.
Access Control: Implement role-based access control to manage user permissions and data privacy.
Personalized Health Assessments: Complete detailed health assessments to receive tailored recommendations for nutrition, fitness, mental health, and overall wellness.
Virtual Health Coaches: Connect with certified health coaches, nutritionists, fitness trainers, and mental health professionals for personalized guidance and support.
Mental Health Support: Engage with mindfulness exercises, stress management techniques, and mental health resources to promote emotional well-being and reduce anxiety.
User Management with multiple roles (Patient, Therapist, etc..): Manage user accounts, roles, and permissions for patients, therapists, and administrators.
JWT and LDAP Authentication: Secure user authentication and authorization using JSON Web Tokens and LDAP.
Therapy Session Management: Schedule, manage, and join virtual therapy sessions with mental health professionals.
Recommendation Engine using RAG (Retrieval-Augmented Generation): Generate personalized health and wellness recommendations using RAG.
Admin Interface for easy management: Manage users, health assessments, therapy sessions, and recommendations using the admin interface.

Technology Stack

Backend: Django (Python)
Database: PostgreSQL with pgvector for similarity search
AI/ML: LlamaIndex, Hugging Face Transformers
Real-time Communication: Django Channels, WebSockets
Authentication: JWT, LDAP integration
Deployment: Docker, AWS

Project Structure

The project follows a modular structure with the following main components:

aura/users: User management and authentication
aura/assessments: Health assessment models and logic
aura/mentalhealth: Mental health disorder and therapy approach models
aura/communication: Real-time communication features
aura/core: Core services and utilities, including the AI recommendation engine

Key Implementations

AI-Powered Recommendation Engine

The RecommendationEngine class implements a sophisticated RAG (Retrieval-Augmented Generation) pipeline for providing personalized therapist recommendations and answering user queries.

Health Assessment Model

The Assessment model captures detailed health assessment data, including risk levels, responses, and recommendations. It uses pgvector for efficient similarity searches.

Real-time Communication

The project uses Django Channels and WebSockets to enable real-time communication features, crucial for the platform's chat and video call functionalities.

Security and Compliance

HIPAA and GDPR compliant data handling
End-to-end encryption for all communications
Secure authentication using JWT and LDAP integration
Regular security audits and penetration testing

Deployment and Scalability

Containerized using Docker for easy deployment and scaling
AWS infrastructure for robust and scalable cloud hosting
Celery for handling background tasks and improving performance

Settings

Moved to settings.

Basic Commands

Setting Up Your Users

To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.
To create a superuser account, use this command:
```
python manage.py createsuperuser
```

For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.

Type checks

Running type checks with mypy:

    mypy aura

Test coverage

To run the tests, check your test coverage, and generate an HTML coverage report:

coverage run -m pytest
coverage html
open htmlcov/index.html

Running tests with pytest

pytest

Live reloading and Sass CSS compilation

Moved to Live reloading and SASS compilation.

Celery

This app comes with Celery.

To run a celery worker:

cd aura
celery -A config.celery_app worker -l info

Please note: For Celery's import magic to work, it is important where the celery commands are run. If you are in the same folder with manage.py, you should be right.

To run periodic tasks, you'll need to start the celery beat scheduler service. You can start it as a standalone process:

cd aura
celery -A config.celery_app beat

or you can embed the beat service inside a worker with the -B option (not recommended for production use):

cd aura
celery -A config.celery_app worker -B -l info

Email Server

In development, it is often nice to be able to see emails that are being sent from your application. If you choose to use Mailpit when generating the project a local SMTP server with a web interface will be available.

Download the latest Mailpit release for your OS.
Copy the binary file to the project root.
Make it executable:
```
 chmod +x mailpit
```
Spin up another terminal window and start it there:
```
 ./mailpit
```
Check out http://127.0.0.1:8025/ to see how it goes.

Now you have your own mail server running locally, ready to receive whatever you send it.

Sentry

Sentry is an error logging aggregator service. You can sign up for a free account at https://sentry.io/signup/?code=cookiecutter or download and host it yourself. The system is set up with reasonable defaults, including 404 logging and integration with the WSGI application.

You must set the DSN url in production.

Deployment

The following details how to deploy this application.

IMperiumX/Aura