The "Ticket Classification & Assignment" solution is an automated system designed to enhance the efficiency of handling Jira support tickets by leveraging Amazon Bedrock's AI capabilities. This Python-based application streamlines the process of categorizing and assigning tickets, reducing manual effort and improving response times. Key Features and Functionality: - Automated Ticket Classification: Utilizes Amazon Bedrock's large language models to analyze and classify Jira tickets based on their content, ensuring accurate categorization without manual intervention. - Seamless Integration with Jira: Processes Jira ticket exports placed in an Amazon S3 bucket, making it compatible with Jira Server instances and providing automation capabilities similar to those available in Jira Cloud. - Data Deduplication: Employs AWS Glue to eliminate duplicate tickets, maintaining data integrity and preventing redundant processing. - Scalable Deployment: Deploys resources in your AWS environment using Terraform, allowing for scalable and repeatable infrastructure management. Primary Value and Problem Solved: This solution addresses the common challenge of manual ticket classification and assignment, which can be time-consuming and prone to errors. By automating these processes, organizations can achieve faster response times, improved accuracy in ticket handling, and enhanced operational efficiency. The integration with Amazon Bedrock's AI models ensures that the system remains adaptable and capable of handling complex classification tasks, ultimately leading to better resource allocation and increased customer satisfaction.