Ticket Analysis System An open-source customer support ticket analyzer using local LLMs through Ollama. Analyze sentiment, categorize issues, suggest responses, and prioritize tickets - all while keeping data private. Features

🤖 Local LLM-powered ticket analysis 📊 Sentiment analysis and ticket categorization 💬 Automated response suggestions 📈 Bulk processing with real-time tracking 🔒 Complete data privacy - no API calls

Quick Setup Backend (Python/FastAPI)

Clone repository

git clone https://github.com/yourusername/ticket-analysis-system cd ticket-analysis-system/backend

Create virtual environment

python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Start server (ensure Ollama is running)

python app.py --model llama3.1:latest --ollama-url http://localhost:11434

Frontend (React)

Navigate to frontend folder

cd ../frontend

Install dependencies

npm install

Start development server

npm start

Visit http://localhost:3000 to use the application.

Technologies

Backend: Python, FastAPI, NLTK, Scikit-learn Frontend: React, Material UI LLM: Ollama (local language models like Llama 3.1)