cvachet/iris-classification-lambda repository overview

Aims: Categorization of different species of iris flowers (Setosa, Versicolor, and Virginica) based on measurements of physical characteristics (sepals and petals).

Method: Use of decision tree classifier as machine learning model

Architecture:

• Front-end: user interface via Gradio library
• Back-end: use of AWS Lambda function to run deployed ML model

Github project with documentation:
https://github.com/clementsan/iris_classification_lambda⁠

Deployment on Hugging Face:
You can try out our deployed solution on Hugging Face Space⁠!