ticket-classification

🚀 AI-Powered Support Ticket Classifier Automatically classify customer support tickets by issue type and urgency, and extract product names, complaint keywords, and dates — with an interactive Gradio UI.

Support Ticket Classification and Key Phrases Extraction

Production-ready support ticket classification using Unity Catalog AI Functions, Vector Search, and RAG. Features 6-phase workflow, knowledge base integration, and Streamlit dashboard.

This project focuses on automatically tagging customer support tickets into relevant categories using a Large Language Model (LLM).

Support-ticket routing and triage: TF-IDF + Naive Bayes on Banking77 (0.820 accuracy, 0.817 macro-F1, ~47x over random), per-class error analysis, FastAPI + Streamlit.

Production-style AI ticket prioritization system with ML, rule engine, and FastAPI API

This project achieves a robust solution where users can engage with a knowledgeable chatbot and efficiently route their concerns to the appropriate department.

IHK-Abschlussprojekt FISI AP2 - Automatisierte Ticket-Kategorisierung mit PowerShell

Learn LangGraph multi-agent systems with this production-ready ticket classification app. Features automatic routing, REST API, interactive dashboard, and embedded database.

Ticket Classification Workflow with AI automatic classification of tickets + Intercom integration to receive customer inputs + Slack Notifications + Pipedrive Integration for creating Deals according to the ticket.

🎫 AI-powered customer support ticket classification using TF-IDF + Logistic Regression. Features interactive web UI, FastAPI REST API, Docker deployment, and AWS-ready infrastructure.

AI-powered support copilot for ticket classification and query resolution. RAG, Chroma DB, Streamlit. Atlan AI Engineer Internship.

Automatic ticket classification and document QA system with Pinecone vector search, GROQ LLaMA-3, and SVM-based department prediction

Automated customer support pipeline using LangGraph agents for ticket classification, sentiment analysis, response drafting, and escalation decisioning

AI-powered support ticket routing and response generation system. Uses NLP and a Retrieval-Augmented Generation (RAG) architecture (FAISS + Llama 3.1) to automatically classify tickets and generate context-aware draft responses, with a human-in-the-loop fallback mechanism.

AI-powered ticket triage system built in n8n - Gemini classification, explicit category-to-team routing rules, and a fallback-model pattern for reliability.

RNN-based NLP system that automatically classifies IT helpdesk support tickets into categories like hardware, software, network, and security issues. Built using TensorFlow, Python, and FastAPI to demonstrate real-world enterprise ticket routing and automation.

Hybrid SAP ticket routing: Rule Engine → TF-IDF → LLM fallback. Three-layer decision system with zero unnecessary API calls.

Customer complaint classification using NLP, NMF topic modeling, TF-IDF, and supervised machine learning for intelligent ticket routing.

AI-powered support ticket classification and routing system built with Python, FastAPI, Streamlit, and Machine Learning.