Build a personalized student companion powered by generative AI on Amazon Bedrock
Public Sector Blog
This article discusses how to build a personalized student companion using generative AI on Amazon Bedrock. It explains how to create a chatbot that can provide tailored learning support to students based on their individual strengths, weaknesses, and areas of specialization.
Specifically, the article covers:
- Using Amazon Aurora Serverless to store student enrollment data and grades
- Generating personalized student profiles with Amazon Bedrock's large language models based on the student's academic records
- Retrieving relevant learning content from the institution's knowledge base on Amazon Bedrock Knowledge Bases
- Invoking Amazon Bedrock's large language models to generate personalized answers to student questions, tailored to their individual profiles and the retrieved learning content
- An example implementation showing how the chatbot provides different responses to two students based on their unique profiles and needs
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