Integrating AI-Driven Automation in Python Projects

title: Integrating AI-Driven Automation in Python Projects
description: Strategies for incorporating AI-driven automation tools into Python applications to enhance efficiency and reduce manual intervention.
category: Python Cursor Rules
rules:
  - id: ai_automation_integration
    description: >
      Ensure that AI-driven automation tools are seamlessly integrated into Python projects to enhance efficiency and minimize manual intervention.
    severity: warning
    triggers:
      - event: code_commit
        conditions:
          - language: python
    actions:
      - type: enforce
        parameters:
          - name: ai_tool_integration
            value: true
      - type: suggest
        parameters:
          - name: ai_tool_list
            value:
              - TensorFlow
              - PyTorch
              - scikit-learn
              - Keras
              - OpenCV
    examples:
      - description: >
          Integrate TensorFlow for machine learning tasks to automate data analysis processes.
        code: |
          import tensorflow as tf

          # Define and train your model here
      - description: >
          Utilize OpenCV for image processing to automate visual data handling.
        code: |
          import cv2

          # Load and process images here