jmarcosaraujo/gelato-magico-mlops-demand-forecast

MLOps pipeline for ice cream demand forecasting using MLflow and FastAPI.

Python1 stars0 forks

Topics

#docker#fastapi#github-actions#machine-learning#mlflow#mlops#regression

What it does

Gelato Mágico is an MLOps pipeline designed for forecasting ice cream demand using machine learning techniques. By leveraging temperature data, it helps optimize production and reduce waste, making it crucial for ice cream businesses.

Star history

Not enough history yet — 1 day(s) recorded. The daily snapshot builds this up.

Tracking

Last trending: 2026-02-21

Creator kit

Hook

Discover how Gelato Mágico uses ML to forecast ice cream demand and optimize production!

Content angles

Create a tutorial on setting up the Gelato Mágico project locally.
Discuss the importance of MLOps in retail forecasting and how this project exemplifies it.
Analyze the impact of temperature on ice cream sales using the project's EDA insights.

Who should care

Data scientists, MLOps engineers, and ice cream business owners looking to optimize sales.