This project demonstrates asynchronous programming in JavaScript to develop a price currency prediction application. The functions within the code pull exchange rates of the EUR, GBP, CAD, NGN, and GHS, currencies against the Euro currency from the AlphaAdvantage forex service through an API endpoint. It also analyzes public news about the currencies using an external service to get a sentiment value. It stores these data into a DynamoDB table for later prediction using AWS SageMaker. The entire project was developed as my second coursework for the CST3130 Advanced Web and Big Data module at Middlesex University, London. The project uses the Lambda Functions, S3, DynamoDB, and SageMaker services on AWS. The code samples within the src/functions directory are deployed to the Lambda functions service on AWS…This project demonstrates asynchronous programming in JavaScript to develop a price currency prediction application. The functions within the code pull exchange rates of the EUR, GBP, CAD, NGN, and GHS, currencies against the Euro currency from the AlphaAdvantage forex service through an API endpoint. It also analyzes public news about the currencies using an external service to get a sentiment value. It stores these data into a DynamoDB table for later prediction using AWS SageMaker. The entire project was developed as my second coursework for the CST3130 Advanced Web and Big Data module at Middlesex University, London. The project uses the Lambda Functions, S3, DynamoDB, and SageMaker services on AWS. The code samples within the src/functions directory are deployed to the Lambda functions service on AWSWWWWWWWW…