This website was last updated on 07/09/2026
AI + FULL STACK
OpsIQ AI Ticket Triage
OpsIQ AI Ticket Triage is a full-stack ticket management application designed to streamline IT support and operations workflows. The application enables users to create, manage, search, and track support tickets while leveraging an AI-powered rules engine to automatically analyze ticket content and generate categories, priorities, summaries, and suggested next steps.
In this web-based application, users can submit tickets, monitor ticket status, and manage the ticket lifecycle from Open to In Progress and Resolved. The system provides dashboard metrics, status filtering, search functionality, and automatic timestamp tracking to improve ticket visibility and workflow efficiency.
The application is built using Angular, Spring Boot, and PostgreSQL with a RESTful API architecture. The frontend communicates with backend services to perform ticket management operations while maintaining persistent ticket data storage.
TECH STACK
🅰️ Angular
🌐 HTML/CSS
🚀 Spring Boot
🔗 REST API
⚡TypeScript
📦 Spring Data
🐘 PostgreSQL
🔀 OpenRouter
☕ Java
WHAT I BUILT
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Designed and developed a full-stack ticket management application using Angular, Spring Boot, and PostgreSQL.
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Implemented RESTful APIs for ticket creation, retrieval, status updates, and deletion.
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Developed an AI-powered ticket analysis engine that automatically generates ticket categories, priorities, summaries, and recommended actions.
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Built dashboard analytics displaying ticket statistics and operational metrics.
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Implemented ticket search, status filtering, and ticket lifecycle management features.
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Integrated PostgreSQL with Spring Data JPA for persistent data storage and database operations.
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Developed responsive frontend components using Angular and TypeScript.
INSIDE THE BUILD
• AI Ticket Analysis
• Smart Categorization
• Priority Prediction
• Suggested Resolutions
• Ticket Lifecycle Tracking
• Search & Filtering
• Analytics Dashboard
• Persistent Data Storage