How can I make JIRA ticket routing more context-aware using NLP or ML? #2
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aroojjaved93
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Hi Devs 👋
I recently launched an open-source project:
🔗 AI-Powered Ticket Routing & SLA Breach Prediction in JIRA
It’s a real-world solution designed to classify and assign incoming tickets using machine learning, with a predictive model for SLA breaches.
I’d love your feedback on:
👉 How to improve classification accuracy (especially edge cases)
👉 Any NLP libraries that can better handle technical or support-based language?
👉 Would integrating a BERT model or custom embeddings improve context detection?
Also open to contributions or collaboration ideas 🙌
Thanks in advance!
#jira #mlops #nlp #ticketingsystem #opensource #devtools
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