Description:

This project aims to enhance the internal Ticket System and Integrity Queue Manager (IQM) by integrating an AI-powered knowledge assistant. The assistant will analyze user queries in real-time, identify known issues or frequently asked questions, and provide immediate, context-aware responses

Required Skills & Traits:

Natural Language Processing (NLP): Understanding and processing user queries.
Machine Learning (ML): Training models to classify and match queries with known solutions.
Software Development: Backend integration with ticketing systems and APIs.
DevOps Knowledge: Familiarity with Azure DevOps, Jenkins, and build systems.

Expected Outcomes:

A functional AI assistant integrated into the ticketing interface.

Automated responses for common and repetitive queries.A scalable framework for expanding to other internal tools and domains.Reduced ticket volume and faster resolution times.

Specific courses required for project execution: Artificial Intelligence / Machine Learning

Natural Language Processing, LLM Integration, Knowledge Base Processing, Cloud Computing / DevOps Tools

ZF India Technology Center - CDIWY5( CPP Testing)

Station Overview

Project 1

Title: AI-Driven Knowledge Assistant for Ticketing and IQM Systems.