AI-powered support ticket triage system with autonomous agents. Uses Google Gemini for intelligent issue analysis, skill-based moderator assignment, and automated email notifications. Built with Express, React, MongoDB, and Inngest.

Compact transformer to auto-label help-desk tickets (topic + sentiment) with a FastAPI endpoint, eval dashboard, and MLOps glue.

AI-inspired support ticket triage system using rule-based NLP for classification, priority assignment, and automated workflow analysis

Classify support tickets by category and severity using Claude, surface recurring themes, and generate a prioritized Fix Now / Next Sprint / Backlog PM report

End-to-end ML project for multilingual support ticket triage with queue and priority prediction, MLflow tracking, FastAPI, Streamlit, CI, and Docker.

Python CLI tool to categorize and prioritize IT support tickets using rule-based triage logic.

FastAPI-based support ticket triage system with rule-based classification, priority scoring, suggested replies, status tracking, and analytics.

Sample-first AI secretary proof for support ticket triage, draft-only replies, and human confirmation queues.

LLM-powered support ticket triage. Groq with primary + fallback models, Pydantic structured outputs, Postgres + Redis two-tier storage, Streamlit dashboard.

Project Work per il triage automatico di ticket di supporto aziendali con Machine Learning

Forethought is a San Francisco-based generative AI customer-support platform. Its multi-agent product suite — Solve (omnichannel resolution), Triage (ticket classification and routing), Discover (knowledge-gap detection and article generation), Assist (agentic copilot for human agents), and Agent QA (automated quality scoring) — is powered by…

AI-powered support triage agent that classifies, retrieves, and decides whether to respond or escalate using FAISS and confidence-based reasoning.

Eco-Fi AI is an intelligent ticket triage dashboard that uses NLP, ML, and data visualizations to automate ticket classification, detect dead tickets, and prioritize issues based on business impact.