This project automates the process of generating responses for IT helpdesk tickets. By leveraging Natural Language Processing (NLP) models, the system scrapes ticket data, summarizes email threads, and creates AI-generated replies to enhance the efficiency of IT support workflows.
- Automated Ticket Scraping and Summarization: Extracts ticket data and summarizes email threads using a BART model for quick and accurate response generation.
- AI-Powered Reply Generation: Utilizes a LLaMA model to craft responses based on the summarized email content and similar past resolutions.
- Response Similarity Scoring: Measures the similarity between AI-generated replies and previous resolutions using TF-IDF vectorization and cosine similarity.
- Interactive User Prompts: Allows users to accept the AI response, modify it with custom input, or regenerate a response.
- Clone the Repository:
git clone https://github.com/donneypr/it-ticket-reply-automation.git cd it-ticket-reply-automation