DiagnoRx - Advanced AI Medical Diagnosis System

A comprehensive Django-based medical diagnosis application that combines patient management, AI-powered diagnosis, and automated report generation.

Features

🏥 Patient Management

• Complete patient record creation and management
• Medical history tracking
• File upload support for ECG, Lab, and X-ray reports
• Patient search and filtering capabilities

🤖 AI-Powered Diagnosis

• Symptom-based diagnosis using machine learning
• Confidence scoring for diagnosis accuracy
• Support for multiple medical report types
• Automated treatment plan generation

📊 Report Generation

• Automated PDF report generation
• Professional medical report formatting
• Downloadable patient records
• Comprehensive medical summaries

🔐 User Authentication

• Secure user registration and login
• Role-based access control
• User session management
• Password validation and security

📱 Modern UI/UX

• Responsive Bootstrap-based interface
• Medical-themed design
• Mobile-friendly layout
• Intuitive navigation

Technology Stack

• Backend: Django 3.2+
• Frontend: Bootstrap 5, HTML5, CSS3
• Database: SQLite (development), PostgreSQL (production)
• AI/ML: scikit-learn, joblib
• PDF Generation: ReportLab
• Image Processing: Pillow

Installation

Prerequisites

• Python 3.8 or higher
• pip (Python package installer)

Setup Instructions

1. Clone the repository

   git clone <repository-url>
   cd Diagno

2. Create a virtual environment

   python -m venv venv
   
   # On Windows
   venv\Scripts\activate
   
   # On macOS/Linux
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

4. Run database migrations

   python manage.py makemigrations
   python manage.py migrate

5. Create a superuser (optional)

   python manage.py createsuperuser

6. Run the development server

   python manage.py runserver

7. Access the application

   • Open your browser and go to http://127.0.0.1:8000/
   • Register a new account or login with existing credentials

Project Structure

Diagno/
├── core/                    # Main application
│   ├── ai_models/          # AI model files
│   ├── static/             # Static files (CSS, JS)
│   ├── templates/          # HTML templates
│   ├── admin.py           # Django admin configuration
│   ├── forms.py           # Patient forms
│   ├── models.py          # Database models
│   ├── urls.py            # URL routing
│   ├── utils.py           # PDF generation utilities
│   └── views.py           # Application views
├── users/                  # User authentication app
│   ├── forms.py           # User registration forms
│   ├── urls.py            # Auth URL routing
│   └── views.py           # Authentication views
├── diagnorx/              # Django project settings
│   ├── settings.py        # Django settings
│   ├── urls.py            # Main URL configuration
│   └── wsgi.py            # WSGI configuration
├── media/                  # Uploaded files
│   ├── ecg_reports/       # ECG report files
│   ├── lab_reports/       # Lab report files
│   └── xray_reports/      # X-ray report files
├── manage.py              # Django management script
├── requirements.txt        # Python dependencies
└── README.md              # Project documentation

Usage

For Medical Professionals

1. Login/Register: Create an account or login to the system
2. Add Patient: Fill out the comprehensive patient form with symptoms and medical history
3. Upload Reports: Optionally upload ECG, lab, or X-ray reports
4. Generate Diagnosis: Submit the form to get AI-powered diagnosis
5. View Results: Review diagnosis, confidence score, and treatment plan
6. Download Reports: Generate and download PDF medical reports
7. Track History: View and search through all patient records

AI Diagnosis Features

The system provides intelligent diagnosis based on:

• Symptom Analysis: Analyzes patient symptoms using pattern recognition
• Medical History: Considers patient's medical background
• Report Integration: Incorporates uploaded medical reports
• Confidence Scoring: Provides accuracy confidence for each diagnosis

Supported Diagnosis Categories

• Cardiovascular issues
• Respiratory infections
• Neurological conditions
• Gastrointestinal problems
• General consultations

Configuration

Environment Variables

Create a .env file in the project root:

SECRET_KEY=your-secret-key-here
DEBUG=True
ALLOWED_HOSTS=localhost,127.0.0.1
DATABASE_URL=sqlite:///db.sqlite3

Production Deployment

For production deployment:

1. Set DEBUG=False in settings
2. Configure a production database (PostgreSQL recommended)
3. Set up static file serving
4. Configure media file storage
5. Set up proper security measures

API Endpoints

• / - Dashboard (requires authentication)
• /dashboard/ - Patient form and recent records
• /prescription/<id>/ - View diagnosis results
• /history/ - Patient records with search/filter
• /download-pdf/<id>/ - Download PDF report
• /users/login/ - User login
• /users/register/ - User registration
• /users/logout/ - User logout

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support and questions:

• Create an issue in the repository
• Contact the development team
• Check the documentation

Disclaimer

This is a demonstration system and should not be used for actual medical diagnosis without proper validation and certification. Always consult with qualified medical professionals for real medical decisions.

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DiagnoRx - Advancing medical diagnosis through AI technology.