Do you know 77 percent of people experience stress that affects their physical health. 73 percent of people have stress that impacts their mental health. If left unchecked this can have severe consequences.
What if you could monitor your stress from the comfort of your home ?
- I have trained a deep learning model on the multimodal WESAD Dataset. ( Details in the
train_dirfolder ) - Then I deployed the model to a webapp using Django.
- Thus the users upload their phsyiological data to the Webapp, and django leverages the classifier model to classify their data between
- Stress
- Amusement
- Neutral
- Django, Html/CSS
- Tensorflow, numpy, pandas, sklearn, etc.
- After cloning the repo, create a virtual-environment
- Create a
config.jsonfile corrosponding to dummy.json in thestress_detectionfolder.
pip install -r requirements.txt
python local.py migrate
python local.py runserverPS : I use local.py in local environment to maintain a smooth flow, refer to my stackoverflow answer here - https://stackoverflow.com/questions/68766668/django-best-practice-for-running-switching-dev-debug-product-mode/68766902#68766902 PPS: replace manage.py with local.py to get away from heroku