AI-Powered SLA Predictor for JIRA: Automate Smart Ticket Management, Prioritize Support Requests, and Boost Workflow Efficiency with Machine Learning

🚀 Transform Your Customer Support Workflows with AI! 🌟

Discover how our AI-based solution predicts SLA breaches in customer support using JIRA ticket data. This innovative approach helps teams identify bottlenecks, automate triage, and escalate issues intelligently—before they escalate.

Key Features:

• 🔮 Machine Learning Model: Predicts SLA breaches efficiently.
• 🧠 Data-Driven Insights: Analyzes resolution performance.
• 📈 Visual Dashboards: Displays breach rates, agent metrics, and categories interactively.
• ⚙️ Dynamic Predictions: Implemented through a Flask API.
• 🗃️ Flexible Data Support: Works with synthetic or exported ticket data.

Built with Python, Flask, Pandas, and Scikit-learn, this project offers real-world solutions to optimize technical support.

💡 Want to contribute?

• ⭐ Star our GitHub repo to show your support.
• 🍴 Fork it and enhance features.
• 🐛 Submit issues or pull requests!

Join us in making a significant impact in AI-driven workflows! Let’s connect and share insights!

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