AI-Powered JIRA Automation Smart ticket classification, predictive SLA breach alerts, and intelligent agent routing all powered by machine learning. Boost your support efficiency with ready-to-use automation tools and dashboards.

A Python-based AWS solution for automated Jira ticket classification using Amazon Bedrock. This project helps Jira users automate ticket categorization featuring S3 integration, AWS Glue deduplication, LLMs, and Terraform deployment.

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Naive Bayes Classification of JIRA tickets based on TFIDF features

AI-powered support ticket classification API using RAG, Qdrant, and Gemini — with Jira integration.

Intelligent support ticket analysis automation using n8n, AI, and integration with GLPI and Jira. This project centralizes ticket classification, recurring bug detection, and automatic Jira task creation/update, reducing manual work for the support team and improving the quality of information sent to development.

Repo created to simulate Jira ticketing classification using LLM and LangGraph. Goal to practice integration with Docker and K8s, CI/CD using GitHub Actions and resource reservation using Terraform and Ansible.

An advanced ITSM platform leveraging Artificial Intelligence and workflow automation to transform traditional IT service desk operations. This system integrates with Jira Service Management to provide intelligent ticket classification, automated resolution workflows, and predictive analytics, reducing manual effort by 70% and improving MTTR by 45%.