Project created for HackKnight Hackathon, Fall 2024

• Sharif Ali - Front-end
• Jaskaran Bhogal - Front-end
• Alfred Siby Cyriac - Full-stack
• Dilver Singh - Full-stack
  All team members were first-time hackers!

• Video Demo
• DevPost Submission

DocDiscovery helps users find doctors tailored to their needs. Users provide:

1. Doctor Type
2. Zip Code
3. Insurance Type
4. Symptoms

The program returns a collection of matching doctors, with a Tinder-like swiping feature for users to favorite or remove doctors. Users ultimately receive a list of their favorited doctors to choose their best fit. Once a doctor is selected, only their information remains displayed.

DocDiscovery was built with HTML5, CSS3, and Vanilla JavaScript. Due to time constraints and the team's limited experience with Next.js, we opted for a more straightforward approach so everyone could contribute.

1. Client Side: Collects user inputs and sends them to the server.
2. Server Side: Searches the database for matching doctors based on doctor type, zip code, insurance, and symptoms. Results are passed back to the client for display.

• API Limitations: Finding a single API with our search criteria was tough, so we merged data from two APIs.
• Database Choice: Without MongoDB experience, we used Google Sheets as our database. We populated the sheet with data from the APIs via Google Apps Script and connected it to our JavaScript file.

November 10, 2024