AI_Health_Companion

• 

  The working of bot

• 

  Created API /chat for backend working

• 

  The lamda function script for accessing AWS bedrock with Anthropic

Inspiration

Helping people with less internet access or inaccessible professional services to access medication.

What it does

The companion helps in providing answers to prompts and specifies the symptoms of prompts like "I have a headache", "I have a sore throat."

How we built it

We utilized Bedrock and API gateway with access to Anthropic Claude Instant-v1. the backend works on AWS Bedrock with a Lambda function, written in Python.

Challenges we ran into

Cost optimization is a bigger challenge, as API calls and requests are limited, and continuous logging is required to monitor the logs.

Accomplishments that we're proud of

Making a secure HTTPS server with API Gateway using AWS, making professional medical services accessible, with prompts.

What we learned

We learnt about the services of AWS Generative AI, how API calls work, and debugging internal server errors, also how Anthropic works with "/n/n Human Assistant" annotation.

What's next for AI_Health_Companion

Making it a more conversational interface with Amazon Q, and accepting images or reports to securely store in S3 buckets, and building it more specific to access healthcare services, making the backend more resourceful for prompts, making this bot more secure, and able to accept more requests/API calls

Built With

• amazon
• amazon-cloudwatch
• anthropic
• api
• bedrock
• claude
• gateway
• html
• lamda