Sample Iris Species

Iris Setosa

Iris Versicolor

Iris Virginica

ML Cloud Model Deployment

This project showcases a full end-to-end ML pipeline using AWS SageMaker for deployment and Flask for frontend integration.

• Model: Random Forest Classifier trained on the classic Iris dataset
• Pipeline: Model packaged and uploaded to AWS S3, then deployed as a SageMaker endpoint
• Frontend: Flask app with an interactive form that submits user input to the live model

Try it out: Enter flower measurements below and receive a prediction instantly from the cloud-hosted model.

Feature Guide

Sepal Length

Sepal Width

Petal Length

Petal Width