Iris_ml_project/docs/index.md

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
• Model Information
• Getting Started