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SupportSync is an AI-driven full-stack application designed to automate and enhance the support ticket resolution process. The project aims to integrate AI with ticketing platforms like JIRA, Salesforce Cloud, and ServiceNow to automatically fetch, process, and resolve support tickets. Key Features: Integration with Ticketing Platforms: The system fetches ticket data from platforms like JIRA using Python, storing it in CSV format. The fetched ticket data is then passed through an embedding algorithm to convert it into vectors. These vectors are stored in a vector database like Pinecone. AI-Based Ticket Resolution: Open Tickets: When an open ticket is selected by the user, the system compares the embeddings of the open ticket with the stored vectors of closed (resolved) tickets to generate a solution. AI Chatbot: The system includes a chatbot, built using LangChain, which provides real-time resolution of tickets. The chatbot generates solutions based on the ticket data and can assist the user further. Updates in Progress: You wanted to enhance the AI solution by using OpenAI to generate more detailed, explanatory solutions for open tickets, in addition to the solution retrieved from the vector database. You also planned to update the process of fetching required ticket fields from JIRA with more efficient code to retrieve ticket fields, comments, and concatenate comment bodies.