This repository houses the backend logic for the Primary Doctor Recommendation System, which leverages Flask to serve API endpoints that facilitate the matching process between patients and doctors based on a multitude of criteria, including but not limited to, patient preferences, doctor specialties, and collaborative filtering algorithms.
- Framework: Flask (Python)
- Database: MySQL (Hosted on Google Cloud SQL)
- Machine Learning: Custom models for recommendation (Item-based collaborative filtering)
- RESTful API endpoints to handle patient and doctor data management.
- Integration with SQL database for storing user profiles, preferences, and match histories.
- Machine learning model serving for personalized doctor recommendations.
Link to the front-end Github: https://github.com/snigdhapulim/frontweb
- Python 3.x
- pip
- Clone the repository sh git clone https://github.com/your_username_/Project-Name.git Install Python packages pip install -r requirements.txt
Run the Flask application flask run
We welcome contributions from the community. Please read our contribution guidelines before submitting a pull request.