Foreigners and expatriates residing outside their home countries are frequently confronted with language barriers while trying to decipher emails and set reminders for various events such as business meetings, customer gatherings, and more. Amazon has developed a way to eradicate these language barriers by creating a fully automated, multilingual calendar Artificial Intelligence (AI) assistant utilizing AWS services like Amazon Bedrock, AWS Step Functions, and Amazon Simple Email Service (SES). This automatic assistant can comprehend incoming messages, translate them into a preferred language, and set up calendar reminders accordingly.
Amazon Bedrock is a fully managed service that provides access to foundation models offered by leading AI startups and Amazon. AWS Step Functions are visual workflow services aiding developers to build distributed applications and automate processes, among other functionalities. These two tools combined can create a generative AI application in a few easy steps, where you don’t have to worry about managing infrastructure given their serverless attribute.
The way it works is simple: a message, for instance in Norwegian, is sent to the Step Functions state machine via API Gateway where it is transformed into structured JSON by the foundation model, which is then used to perform actions. This message is translated and summarized in English, while also extracting event information like location, time, and subject. An action plan is then generated which, in this case, is to set up calendar reminders and send emails through Lambda Function.
This solution requires access to an AWS account, model access to the Anthropic Claude 3 Sonnet model on Amazon Bedrock, and creating and verifying identities on Amazon SES for successful operation. With AWS Cloud Development Kit (CDK), the whole stack can be deployed with a single command line, the details of which are found in a GitHub repository.
As of now, the solution only sends out calendar reminder emails. However, it has the potential to be upgraded to perform more actions, for example, automatically sending out decline emails to event originators if the event clashes with other plans or vacations.
In conclusion, this smart AI solution can efficiently streamline processes and enhance productivity without the operational overhead of managing the services. The solution source code is available on GitHub and can be deployed to create your own multilingual calendar assistant.
