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An intelligent forest fire prediction system that leverages machine learning alogrithms, integrating MLOps principles for efficient and robust model development, deployment, and maintenance.

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Cyber-Machine/firepred

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Firepred

PythonFlask Test Docker

This is a sample application for demonstrating MLOps pipeline.

An intelligent forest fire prediction system that leverages machine learning classifier algorithms, such as logistic regression and random forest, while integrating MLOps principles for efficient and robust model development, deployment, and maintenance.

System Design

Features

  • Automatic Deployment using Github Actions.
  • Unit Testing using Pytest.
  • Static analysis and formatting using black.
  • Hyperparameter tuning using optuna.

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An intelligent forest fire prediction system that leverages machine learning alogrithms, integrating MLOps principles for efficient and robust model development, deployment, and maintenance.

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