A comprehensive collection of Generative AI projects powered by Amazon Bedrock, showcasing diverse applications across industries. This repository contains ready-to-deploy solutions for various use cases, from translation and education to financial analysis and HR management.
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AWS-AI-Powered-Translation-Assistant
- Real-time, multi-language translation with contextual awareness
- Built with Amazon Bedrock, LLMs, and Streamlit frontend
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AWS-Educational-Assistant
- AI-powered educational support system
- Generates summaries, explanations, and study plans
- Uses Claude model on Amazon Bedrock with Streamlit interface
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Claude Wisdom AI
- Knowledge extraction and summarization tool
- Processes large texts to extract key insights
- Powered by Claude model on Amazon Bedrock
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AWS-GenAI-Market-Sage
- Financial market insights generator
- Real-time data integration for market analysis
- Combines Bedrock with financial APIs
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AWS-Stock-Agent-with-Bedrock
- Real-time stock analysis and recommendations
- Provides market trends and stock insights
- Integrates with stock APIs for live data
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CV-Maestro-Elevate-Your-Career-Narrative
- Smart CV content generator
- Optimizes resumes based on job descriptions
- Uses LLM for content generation
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HR-Luminary-with-Amazon-Bedrock
- Comprehensive HR assistant
- Handles resume screening and performance analysis
- Features HR-optimized LLM and dashboard
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GenAI-HR-Luminary
- Specialized HR analysis tool
- Focuses on employee evaluations and hiring insights
- Built with HR-specific LLM models
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AWS-First-Cloud-Journey-Uniform-Detection
- AI-powered uniform detection system
- Uses image processing and analysis
- Built on Bedrock's image analysis capabilities
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Generate Images using Amazon Bedrock
- Text-to-image generation using Stability Diffusion
- Creates custom images from text prompts
- Features Streamlit-based UI
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Stable Diffusion UI for Text-to-Image
- User-friendly interface for image generation
- Built on Stability Diffusion model
- Includes input prompting and image display
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OCR-GenAI
- Advanced OCR assistant with GenAI capabilities
- Extracts text from documents and images
- Features user-friendly upload interface
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AWS-OCR-with-Amazon-Bedrock
- Specialized OCR implementation
- Optimized for document text extraction
- Includes document processing pipeline
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Content-Moderation-with-Amazon-Bedrock
- AI-powered content moderation system
- Reviews text and images for compliance
- Features moderation dashboard
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PolyClaude
- Multi-modal AI assistant
- Handles text and image analysis
- Built on Claude model with Streamlit frontend
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Product-Description-Generator
- Automated product description creation
- Uses LLM for feature-based content generation
- Includes product input form
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Location-Analysis-System
- Geospatial data analysis tool
- Provides demographic and business insights
- Features location data visualization
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TapVision
- Customer sentiment analysis system
- Extracts insights from feedback
- Includes sentiment visualization dashboard
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Amazon-Bedrock-Claude3-Image-Analysis
- Advanced image analysis with Claude3
- Extracts context and details from images
- Features comprehensive analysis dashboard
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GenAI-Model-Evaluator
- Model performance evaluation tool
- Benchmarks various GenAI models
- Includes detailed metrics and comparisons
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QnABot-Conversational-AI
- Conversational AI implementation with Amazon Lex
- Features Alexa integration capabilities
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Slack-gateway-for-Amazon-Q-Business
- Business integration tool for Slack
- Connects with Amazon Q services
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Amazon-Bedrock-All-Text-Generator
- Comprehensive text generation utility
- Supports multiple use cases and formats
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Amazon-Bedrock-Model-Evaluator
- Advanced model evaluation framework
- Includes performance metrics and analytics
Each project includes detailed setup instructions in its respective directory. Generally, projects require:
- Amazon Bedrock access and configuration
- Relevant API keys and permissions
- Python environment setup
- Frontend deployment (where applicable)
See CONTRIBUTING for security information.
This project is licensed under the MIT-0 License. See the LICENSE file for details.