MedVisioSphere is an advanced and secure web application tailored exclusively for medical students. It seamlessly combines the power of Django and Three.js to deliver an immersive and educational experience, allowing students to visualize real medical STL images. This application ensures the utmost security, preventing direct file access while providing an intuitive interface for exploring and learning from these intricate 3D models. MedVisioSphere utilizes SQLite for efficient data management, safeguarding sensitive medical information.
- Secure Access: MedVisioSphere restricts access to authorized medical students only, ensuring the privacy and integrity of sensitive medical data.
- Immersive Visualization: The integration of Three.js enables interactive and detailed rendering of medical STL images, offering a lifelike and informative visualization experience.
- Efficient Data Handling: The application utilizes SQLite, a lightweight and efficient database system, for seamless storage and retrieval of relevant data.
- User-Centric Design: MedVisioSphere boasts a user-friendly interface, designed to facilitate ease of navigation and interaction, making it accessible to users with varying technical backgrounds.
- Cross-Platform Compatibility: Users can access MedVisioSphere from any modern web browser, making it adaptable to a range of devices.
- Django
- Three.js
- SQLite
To set up and run the MedVisioSphere application, follow these steps:
-
Clone the Repository:
git clone https://github.com/your-username/MedVisioSphere.git cd MedVisioSphere -
Setup Virtual Environment:
virtualenv venv source venv/bin/activate -
Install Dependencies:
pip install -r requirements.txt
-
Run the Application:
python manage.py runserver
-
Access the Application: Open your web browser and navigate to
http://localhost:8000.
- Register a new user or log in with existing credentials.
- Upload and manage your encrypted medical STL content.
- Explore detailed 3D visualizations using the integrated Three.js renderer.
- Use the intuitive interface to navigate and interact with the medical images.
- Ensure to follow best practices for security and data privacy.
We welcome contributions to enhance MedVisioSphere. To contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature-name. - Commit your changes:
git commit -m "Add feature". - Push to your fork:
git push origin feature-name. - Create a pull request with detailed explanations of changes.
MedVisioSphere is released under the MIT License. For details, see the LICENSE file.
For inquiries or feedback, please contact us at [email protected].