Health Insurance Estimator - API {GCP & MLOPS}

Description

This project implements a cloud-based API to predict health insurance charges using a Linear Regression model deployed on Google Cloud Platform (GCP). It leverages Cloud Run (or Cloud Functions) for serverless deployment, Google Cloud Storage for model storage, and Python for development.

Features

• Predicts insurance charges based on BMI, number of children, smoking status, age category, and gender.
• Serverless API accessible via HTTP POST requests.

Technologies

• Python (Pandas, Scikit-learn, NumPy), GCP (Cloud Run/Functions, Cloud Storage), Functions Framework.

Installation

• Clone this repository, install dependencies with pip install -r requirements.txt, and deploy using GCP CLI or Console.

Usage

• Test the API with python test.py after updating the URL.

Deployment Instructions

• Deploy manually in GCP Cloud Run (or Functions if available) with the inline editor or CLI: gcloud run deploy predict-insurance-manual --region us-central1 --allow-unauthenticated --source

Workflow

Contact

For questions, contact me at shahuuraff@gmail.com or connect on LinkedIn.