Show HN: AI-Powered SLA Breach Predictor for Jira (Open Source, Python)

4 months ago 2

🔮 Revolutionize your support operations using AI-based automation in JIRA

🚀 Boost SLA compliance.
📊 Automate ticket classification.
⚙️ Predict resolution delays, all with Python and machine learning.

Modern technical support teams often struggle with manual ticket routing, backlog prioritization, and SLA breaches. This project delivers a complete solution using AI and data-driven automation built into the JIRA environment.

Whether you're managing a support team or optimizing ITSM workflows, this toolset helps reduce time-to-resolution, prevent SLA violations, and enhance team productivity.

✅ Automated Ticket Classification: Classify new JIRA issues by category (e.g., Bug, Feature, Incident) using natural language processing (NLP).
⏱ SLA Breach Prediction: Predict whether an open issue is at risk of missing its SLA based on historical ticket patterns.
📤 Auto-routing Logic: Assign issues to the most appropriate support group based on AI tagging and JIRA custom fields.
📈 Interactive Dashboards: Visualize ticket risk levels, SLA trends, and issue heatmaps via reporting dashboards.
🔌 API Integration Ready: Easily integrate the solution into existing JIRA workflows and CI/CD pipelines.

├── /data/ → Sample datasets & JIRA export files ├── /models/ → Pre-trained classification & prediction models ├── /notebooks/ → Jupyter notebooks for training & evaluation ├── /scripts/ → Python scripts to trigger classification/prediction ├── /api/ → Flask-based RESTful API for automation ├── /screenshots/ → Sample outputs and workflow screenshots └── README.md → Project documentation

├── api/ # Flask app with endpoints ├── automation-rules/ # JSON rules for JIRA ├── dummy-data/ # Sample ticket datasets ├── screenshots/ # Visuals of workflows and dashboards ├── README.md # This file └── requirements.txt # Python dependencies

Clone the repo

git clone https://github.com/your-username/jira-ai-sla-automation.git cd jira-ai-sla-automation

Create virtual environment

python -m venv venv source venv/bin/activate # or venv\Scripts\activate on Windows

Install dependencies

pip install -r requirements.txt

Run the Flask server

⚙️ Sample Automation Workflow

This solution is ideal for: • IT Support Teams managing SLA-heavy environments • Product Support Units handling large ticket volumes • DevOps teams seeking intelligent triage and automation • Startups and Enterprises using Atlassian JIRA for support workflows

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🧠 Tech Stack

• Python: Core scripting and model orchestration • Scikit-learn / XGBoost: Model training and tuning • NLTK / spaCy: Text preprocessing and tokenization • Flask: Lightweight REST API for integration • Pandas / Matplotlib / Seaborn: Reporting and analytics • JIRA REST API: For ticket access and updates

Arooj Javed
Support Engineer | Workflow Automator | Python + JIRA Enthusiast
GitHub: @aroojjaved93

This project is licensed under the MIT License.