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.

• Python 3.x
• pip

1. 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.