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Bud AI — Multi-Agent Educational & Adaptive Learning Platform

Bud AI — Multi-Agent Educational & Adaptive Learning Platform

Bud AI is an intelligent student learning platform that addresses fragmented educational workflows by providing intent-routed AI assistants. It features an adaptive "Aura System" user interface that dynamically updates UI feedback based on interaction state, coordinate multi-agent workflows for subject breakdown, and manages session context through persistent storage

Shaik Jouzia Afreen H

Graduating BCA student
AWS Open Source Tools:
  • LocalStack / AWS SAM CLI: Utilized during local development to emulate serverless compute and database event triggers offline.
  • Cedar: Applied policy-based access rules for secure context isolation and user session controls.
AWS Cloud Services:
  • AWS Lambda & API Gateway: Serverless microservices powering prompt routing, multi-agent dispatch, and backend processing pipelines.
  • Amazon Bedrock: Orchestrating foundation models and LLMs for specialized subject tutoring and intent classification.
  • Amazon S3 & DynamoDB: Used for persistent storage of user interaction histories, learning logs, and dynamic state metrics
# aws-educate# json# amazon-cloudwatch# api-gateway# aws-environment
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