• Well-commented Lambda function(s) in Python or Node.js that parse the incoming events, apply fraud

[AWS Lambda Fraud Detection POC](https://freelancer.com/projects/aws-lambda/aws-lambda-fraud-detection-poc.html) I am building a proof-of-concept that shows how AWS Lambda can detect fraudulent activity within a banking workload. The scope is limited to fraud detection and centers on two live data feeds: transaction history and user-behavior data. The workflow I have in mind is event-driven: new transactions flow through Amazon Kinesis (or an SQS/SNS trigger if you prefer), land in Lambda, and are evaluated against a lightweight rules engine or ML inference endpoint. Any transaction flagged as suspicious should be written to DynamoDB (or another fast store) and surfaced through CloudWatch metrics and a simple API Gateway endpoint for review. Key deliverables • Well-commented Lambd...