Prevent SLA Breaches in JIRA with AI: Smart Ticket Prioritization in Python

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Predict SLA breaches before they happen, prioritize tickets intelligently, and bring automation into your JIRA support workflow using AI.

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🔍 What’s This Project About?

Handling dozens (or even hundreds) of support tickets daily makes it difficult to manually keep up with SLAs. This open-source project helps you stay one step ahead by predicting SLA breaches before they occur using supervised machine learning. It’s a must-have tool for any support team using JIRA.

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✨ Key Features
• 🧠 AI-powered SLA breach prediction model
• 🕒 Prioritizes tickets based on breach risk and urgency
• 📊 Visual reports of predicted resolution patterns
• 🔌 Easily integrated into JIRA workflows
• 📁 Clean and modular code — perfect for extending

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🚀 Getting Started

Clone the repository to get started:
git clone https://github.com/aroojjaved93/AI-SLA-Predictor-for-JIRA-Smart-Ticket-Automation.git

🤖 This tool leverages real data and intelligent predictions to improve support workflows and reduce SLA breaches.

📄 Setup instructions and a sample dataset are included in the README.

🔧 Tech stack: Python, Pandas, Scikit-learn, Matplotlib, Flask

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🤝 Clone & Contribute

This project is 100% open-source and actively maintained. Here’s how you can help:
• ⭐ Star the repo to support and spread the word
• 🍴 Fork and improve the logic or add visualizations
• 🐞 Submit issues or ideas via GitHub
• 💡 Build on top of it for your support automation use case

👉 GitHub Repo: AI SLA Predictor for JIRA

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