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.

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

  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

This application is not currentlly live.