TuringCare is an academic project developed in the framework of AI studies at ESPRIT by TuringTeam
TuringCare enables fast and effective disease response by providing an easy management and access to patient information at one place. The TuringCare web app also allows healthcare professionals to early detect lung diseases (Covid-19, Tuberculosis, Viral Pneumonia) in Chest X-Ray images and link results to patients' records. The TuringCare app uses Artificial Intelligence to classify diseases and interpret abnormalities in the lungs from Chest X-Ray images.
- Register an account.
- Log in into an account.
- Update account informations.
- Create a new patient.
- View a patient record (general information, related model prediction results).
- View all patients.
- Update a patient.
- Delete a patient.
- Import and classify a Chest X-Ray image using CNN deep learning model.
- View prediction results.
- View all predictions.
- Update a prediction (link Chest X-Ray to a patient, enter feedback).
- Delete a prediction.
TuringCare uses open source projects and frameworks to work properly:
- Django - a python-based free and open-source web framework.
- Bootstrap 5 - a free and open-source CSS framework directed at responsive, mobile-first front-end web development.
- TensorFlow - a free and open-source software library for machine learning and artificial intelligence.
- Volt Django Dashboard - a free and open source Django Dashboard Template.
And of course TuringCare itself is open source with a public repository on GitHub.
Step 1: Install tools
Step 2: Clone Repo
git clone https://github.com/abdessalemmami/turing-care-app.git
Step 3: Install Node Modules
cd apps/static/assets
npm install
Step 4: Edit & Recompile SCSS files
gulp scss
Step 5: Configure Virtual Environment
cd turing-care-app
pip install virtualenv
virtualenv env
.\env\Scripts\activate
pip3 install -r requirements.txt
Step 6: Create Database Tables
python manage.py makemigrations
python manage.py migrate
Step 7: Run Development Server
python manage.py runserver
Access the web app in your preferred browser (http://127.0.0.1:8000/) and that's it!
- Arij Boubaker - AI Enginnering Student, ESPRIT
- Abdessalem Mami - AI Enginnering Student, ESPRIT
- Adem Boukhris - AI Enginnering Student, ESPRIT
- Mohamed Fathallah - AI Enginnering Student, ESPRIT
- Firas Soltani - AI Enginnering Student, ESPRIT
MIT