What is ai-powered-call-center-analytics-system-using-aws-serverless-architecture?

This project is a blueprint for a call center analytics system built entirely on Amazon Web Services, designed to automatically review customer service phone calls instead of having a person listen to each one. Customer service teams handle large volumes of calls every day, and manually checking recordings for quality or problems takes a lot of time. This system automates that review process. When a call transcript comes in, it moves through a series of small cloud functions called Lambda functions. One creates and stores the transcript, another cleans up the text, and a third sends it to Amazon Bedrock, which is Amazon's AI service, using a custom prompt. The AI reads the conversation and pulls out useful details: whether the customer sounded positive or negative, what kind of call it was, what the underlying issue was, whether it got resolved, what action the operator took, and a short summary of what happened. After the AI finishes, the results pass through a message queue before being saved into a database, which keeps the system reliable even if one part temporarily slows down. A web dashboard then displays this information two ways: it loads past call results when you first open it, and it also updates automatically in real time as new calls are analyzed, without needing to refresh the page. The whole system is described as serverless, meaning there are no traditional servers to manage. All the pieces, including storage, the website hosting, the database, and the messaging, run on managed AWS services that scale automatically with demand. The README lists possible future additions such as user login, more monitoring, and an automated deployment pipeline, but notes these are not yet built. No license is mentioned in the README.