AWS Generative AI WhatsApp Assistant Samples

This repository provides sample implementations using AWS AWS Cloud Development Kit (CDK) Python for building WhatsApp AI assistants using AWS services and Amazon Bedrock.

Here is a list of available samples:

Use Case	Description	Key Features	AWS Services	Languages
AWS Generative AI WhatsApp Assistant Samples	Build an AI assistant with multi-language support and voice processing	Multi-language conversations with Claude 3.5 Voice note transcription and processing Text message handling with Langchain Implements conversation memory and session handling through Amazon DynamoDB, allowing for context retention and history tracking across interactions	Amazon Bedrock AWS Lambda Amazon DynamoDB Amazon API Gateway Amazon Transcribe Amazon S3	Multilanguage
Processing WhatsApp Multimedia with Amazon Bedrock Agents: Images, Video, and Documents	Create an advanced assistant for multimedia content analysis	A WhatsApp assistant that processes multimedia content (images, video, audio, documents) using Amazon Nova Model and Amazon Bedrock Agents to maintains conversation context. Document information extraction Audio transcription with context Includes conversation memory management, session handling, and the ability to process different media types while maintaining context throughout interaction. Amazon Transcribe	Amazon Bedrock AWS Lambda Amazon DynamoDB Amazon S3 Amazon Transcribe AWS End User Messaging Amazon SNS	Multilanguage

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🇻🇪🇨🇱 ¡Gracias!

Best,

Eli

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Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.