I just released an open-source tool that helps support teams using JIRA to proactively manage ticket SLAs and predict potential breaches before they occur.

It uses Python + AI to analyze historical JIRA data, learn ticket resolution trends, and identify high-risk tickets likely to breach SLA. The tool also includes visualization dashboards and a lightweight classification model trained on real-world support patterns.

Repo: GitHub – SLA Breach Predictor for JIRA

Why I built this: I worked in support engineering and often saw teams overwhelmed with manual tracking and reactive firefighting. This project aims to give them smart, automated foresight without relying on heavy enterprise tools.

Would love feedback, suggestions, or even collaboration! Thanks — Arooj