Coverage Compass

Coverage Compass is a web application developed during BlasterHacks, a hackathon sponsored by Colorado School of Mines. This application empowers users to swiftly and efficiently search their local area to identify medical providers that accept their insurance, thereby avoiding the inconvenience of insurance denial, especially in urgent situations.

Designed with user experience in mind, Coverage Compass ensures that in times of need, individuals can secure the healthcare services they require without the added stress of navigating insurance complexities.

Features

Clean User UI
Map of Insurance Covered Healthcare Providers

Usage

Select Your Insurance Provider
Select Your Insurance Plan
Enter Your Zipcode
Interact with the Map to find Medical Services

Built With

HTML - The markup language used for structuring the website.
CSS - The style sheet language used for describing the look and formatting of the website. Styles are defined in static/css/stylesPage1.css and static/css/stylesPage2.css.
JavaScript - Used for dynamic content on the website. The script static/js/script.js is included in the project.
Python - The main programming language used to run the backend and map functionality. Key Python files include server.py, get_map.py, and several insurance provider scripts like anthem.py, bcbs.py, cigna.py, etc.
Flask - A micro web framework written in Python for serving the web pages and handling backend logic. Flask is assumed to be part of requirements.txt.
Geopy - A Python library used for geocoding addresses into latitude and longitude and vice versa, likely essential for mapping functionalities in scripts like get_map.py.
Folium - A Python library used to create interactive leaflet maps. Its use suggests that the project generates dynamic maps, possibly rendered in coveragemap.html or served via Flask routes.

Make sure to check requirements.txt for a full list of Python libraries used in this project, which includes Flask, Geopy, Folium, and other dependencies critical to running the application.

Data Files

The project uses various data files stored in the data files directory, including ProviderLocPhone.csv for provider information and zipToLoc.txt possibly for mapping ZIP codes to locations.

Static Content and Templates

Static content such as images (logo.png), CSS, and JavaScript are stored under the static directory.
HTML templates used by Flask are located in the templates directory, including index.html, error.html, and map.html for different views of the application.