# Iris ML Predictor

## Overview

This is a machine learning service that predicts the species of Iris flowers based on their measurements. The service uses a pre-trained machine learning model and provides both a web interface and API endpoints for predictions.

## Features

- Iris flower species prediction based on sepal and petal measurements
- Web interface for easy interaction
- RESTful API for programmatic access
- Containerized with Docker
- CI/CD pipeline with GitHub Actions

## Architecture

The service is built using:
- FastAPI for the web framework
- Scikit-learn for the machine learning model
- Docker for containerization
- GitHub Actions for CI/CD

## Documentation

- [API Reference](api-reference.md)
- [Model Information](model-info.md)
- [Getting Started](getting-started.md)