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Description
This PR introduces a framework to enhance the issue ticketing process with AI-driven features. The proposed changes aim to automate ticket categorization, labeling, and prioritization, improving the workflow and efficiency of issue management.
Features Added
AI-Based Categorization:
A machine learning model is integrated to categorize issues into predefined groups (e.g., Bug, Feature Request, Improvement).
Automatic Labeling:
Labels such as "High Priority" or "Urgent" are suggested based on the issue description using the AI model.
Priority Assignment:
Issues are assigned priority scores based on content analysis, aiding triage and decision-making.
GitHub Action Integration:
A GitHub Action is added to trigger the AI model and automatically apply predictions to newly created issues.
The text was updated successfully, but these errors were encountered:
I've created a pull request that introduces automated ticket categorization, labeling, and prioritization features to the project. This aligns with the repository's goals of enhancing workflows.
Description
This PR introduces a framework to enhance the issue ticketing process with AI-driven features. The proposed changes aim to automate ticket categorization, labeling, and prioritization, improving the workflow and efficiency of issue management.
Features Added
AI-Based Categorization:
A machine learning model is integrated to categorize issues into predefined groups (e.g., Bug, Feature Request, Improvement).
Automatic Labeling:
Labels such as "High Priority" or "Urgent" are suggested based on the issue description using the AI model.
Priority Assignment:
Issues are assigned priority scores based on content analysis, aiding triage and decision-making.
GitHub Action Integration:
A GitHub Action is added to trigger the AI model and automatically apply predictions to newly created issues.
The text was updated successfully, but these errors were encountered: