Insurance Fills Service

This service empowers users, typically insurance claimants, to detail their claim or describe their issue. After answering a few supplementary questions, their claim data will be securely stored in the insurance company's database.

The project is constructed as Infrastructure-as-Code (IaC), utilizing the AWS Cloud Development Kit (CDK), which generates a CloudFormation template. AWS Lambda is deployed via a Docker image, a necessary choice due to its capacity to accommodate up to 10GB in dependencies, as compared to a modest limit of 256MB for all dependencies otherwise.

The Lambda function interfaces with OpenAI language models, which parse the user's responses and pose follow-up questions. Following this interaction, the claim data is stored in AWS DynamoDB. Notably, all conversation data is also retained in DynamoDB for future reference and analysis.

As an example, the application retrieve the information about user's first name, last name, type of insurance they need, their phone number and age. Required fields may be added as an instruction for GPT4 in the variable SYSTEM_SETUP_PROMPT from the file lambdas/create_get/constants.py.

To execute the files under the notebooks/ directory, add the OpenAI API key OPENAI_API_KEY to the .env file. This will enable the seamless interaction with OpenAI's language models.

graph LR
  UI -- GET/POST --> APIG[API Gateway]
  subgraph aws[AWS account]
    APIG --> Lambda[AWS Lambdas]
    Lambda -- Stores conversations --> DDB[ConversationsTable]
    Lambda -- Stores filled forms --> DDB2[FilledFormsTable]
    subgraph DynamoDB
        DDB

    end
    subgraph DynamoDB2

        DDB2
    end
    Lambda -- Loads credentials --> SecretsM[AWS SecretsManager]

  end
  Lambda -- uses GPT-4 --> OpenAI[OpenAI API]

Loading

Demo for the text version of the bot:

demo.mov

Demo for the voice version of the bot:

Chatbot_assistant_with_voice.mp4

Setup

To install dependencies:

poetry install

Install pre-commit hooks:

poetry run pre-commit install

Add new python dependency:

poetry add new-package-name

Deployment

Activate environment (optional):

poetry shell

Export environment variables for AWS CDK:

export AWS_ACCESS_KEY_ID=
export AWS_SECRET_ACCESS_KEY=

To deploy on Mac OS:

DOCKER_DEFAULT_PLATFORM=linux/amd64 cdk deploy  --all

Run

To run streamlit frontend for text chat:

streamlit run frontend/app_text_chat.py

To run streamlit frontend for voice chat:

streamlit run frontend/app_voice_chat.py