Centenis is an application used to detect and diagnose early stage Alzheimer's disease and dementia, and in addition to being able to be used as a tool to treat victims of brain injury. It utilizes IBM Watson's Visual Recognition API and BigHugeLab's Thesaurus API to classify a standard set of images. The app presents the user with a series of image which they try to identify, and their answer is checked with the classifications generated by Watson's computer vision algorithms.

To run the app:

1. Run git clone https://github.com/calufornia/centenis.git in an appropriate directory.

2. Set up a Python virtual environment in the same directory as step 1 by first running pip install virtualenv, and then virtualenv -p /usr/bin/python2.7 venv

3. Enter the virtual environment by execeuting source venv/bin/activate, and run pip install -r requirements.txt

4. In settings.cfg, enter the API keys for Watson's Visual Recognition API and BigHugeLab's Thesaurus API in the respective spots (don't include braces or quotes).

5. To launch the app, cd into centenis and run python centenis.py