aroojjaved93/AI-SLA-Predictor-for-JIRA-Smart-Ticket-Automation ? reverse-engineered prompt

Build me a small AI powered tool for JIRA support tickets that helps teams spot which tickets are most likely to miss their SLA, sort them by priority, and suggest when to escalate them.

I want it to take in ticket details and historical support data, use machine learning to make predictions, and then show the results in a simple dashboard that support teams can understand quickly. It should also prepare useful analytics so I can track SLA trends, breach risk, and ticket patterns over time.

Please make it work as a lightweight Python based project that can connect with JIRA or JIRA Service Desk data, and keep the code organized so the prediction part, data handling, and dashboard are easy to update later. If anything needs current library guidance, look up the latest docs online.