Alzheimer detection

This is the follow-up repository for the live recording tutorial on dev.to

Run locally

To run locally

• Clone this repo:

   git clone https://github.com/SamyakGangwal/alzheimerDetection.git
  

• Change directory into the folder:

   cd alzheimerDetection
  

• Create a virtual environment:

   virtualenv -p python3.8 env
  

  You might opt for other dependencies management tools such as pipenv or venv. It's up to you.
• Activate the environment:
  • For Linux and Mac machines

    source env/bin/activate
    

  • For Windows machine:

    .\env\Scripts\activate
    

• Install the dependencies:

  pip install -r requirements.txt
  

• Modify core/models.py if you are not using Cloudinary as your storage service.
  • From

    voice_record = models.FileField(upload_to="records", storage=RawMediaCloudinaryStorage())
  

  • To

    voice_record = models.FileField(upload_to="records")
  

• Make migrations and migrate the database:

   python manage.py makemigrations
   python manage.py migrate
  

• Finally, run the application:

   python manage.py runserver
  

  Visit http://localhost:8000 in your browser

Live version

This application is not currentlly live.