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# 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)