Скачать или смотреть Real-Time AI Image Classification & Caption Generation with Amazon Bedrock | AWS Lambda + WebSockets

Building an automated AI image processing pipeline that classifies images and generates social media captions using Amazon Bedrock's Nova and Llama models, with real-time updates across multiple browsers.

🤖 AI PROCESSING PIPELINE
Image Classification: Amazon Nova Vision model analyzes uploaded images
Caption Generation: Llama 3 creates engaging social media captions
Dual AI workflow: Classification results feed into caption generation
Processing time: 15-45 seconds depending on image complexity

🏗️ SERVERLESS ARCHITECTURE
AWS Lambda: Handles S3 triggers and AI model invocations
Amazon Bedrock: Nova (vision) + Llama 3 (text generation)
EventBridge: Event-driven notifications when processing completes
API Gateway WebSockets: Real-time updates to all connected clients
React Frontend: Live gallery updates without page refresh

⚡ TECHNICAL IMPLEMENTATION
S3 event triggers Lambda on image upload
Base64 encoding for Bedrock model compatibility
JSON result storage with classification + caption data
WebSocket broadcasting for multi-user synchronization
Error handling and connection management

🔧 KEY CHALLENGES SOLVED
Bedrock model request formatting and response parsing
Event-driven architecture with reliable WebSocket delivery
Real-time synchronization across multiple browser instances
CORS handling for S3 API integration

Demonstrates production-ready patterns for AI-powered content processing with real-time collaboration features. Shows how to combine multiple AI models in a serverless workflow with immediate user feedback.

Perfect for developers interested in AI integration, serverless architecture, and real-time web applications.

#AmazonBedrock #AIImageProcessing #ServerlessAI #AWS #ComputerVision