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).

NLP support ticket routing and summarization — TF-IDF + Naive Bayes for speed (12ms p99, 90% F1), with an extension path for transformer-based classification. 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

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.

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

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

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

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

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

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

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

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

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.

Explainable help-desk ticket classification with category and priority prediction, human review, metrics, tests, and responsive UI.

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