A Data Federation Approach to Analyze Behavioral Health and Complement Healthcare Practice with Community Health Metrics
This project aims to analyze behavioral health and complement healthcare practice with community health metrics in Alaska using a data federation approach. By leveraging data from various sources, we can gain insights into behavioral health patterns and improve healthcare practices in the community.
- Language/Framework: Flask (Python)
- Authentication: Google OAuth2
- Database: MongoDB
graph TD;
User["User uploads an image with title, description, sentiment & voice note"] -->|POST request| Backend[Flask Backend]
Backend -->|Stores metadata| MongoDB[MongoDB Database]
Backend -->|Stores image & voice note| StaticFolder[Static Folder]
Admin["Admin views uploaded images & metadata"] -->|GET request| Backend
Backend -->|Fetches data| MongoDB
Backend -->|Serves images & voice notes| StaticFolder
User & Admin -->|Authenticated| Auth[Flask Authentication]
If you want to run this project locally, see the setup.md.
Note: This is the dev branch, which is our main development branch. Please make sure to create pull requests against this branch if you are contributing to ongoing development. For specific contribution guidelines, see the contributing.md.
NOTE:
We currently have two active branches for development:
modularBranch – Focused on modularizing the codebase.devBranch – General development and feature updates.You are welcome to contribute to either of these branches based on your interest.
However, please note that themainbranch is frozen for now and not open for direct contributions.
This project is licensed under the BSD-3-Clause License. See the LICENSE file for more details.
