This repository provides a comprehensive collection of ready-to-deploy Generative AI projects powered by Amazon Bedrock. It targets individuals and organizations seeking to leverage AWS for diverse applications across industries like translation, education, finance, and HR, offering practical examples and solutions.

How It Works

The projects showcase various Generative AI capabilities by integrating Amazon Bedrock with Large Language Models (LLMs) such as Claude and Stability Diffusion. Solutions often utilize frameworks like Streamlit for user interfaces and incorporate industry-specific APIs for real-time data, enabling diverse use cases from multi-language translation and educational support to financial market analysis and HR task automation.

Quick Start & Requirements

• Install/Run: Project-specific instructions are provided within each sub-directory.
• Prerequisites: Amazon Bedrock access and configuration, relevant API keys/permissions, Python environment setup, and frontend deployment (if applicable).
• Links: Detailed setup instructions are available within each project's directory.

Highlighted Details

• Showcases applications for Text & Language Processing, Financial Analysis, HR Tools, Image Processing, Document Processing, and Multi-Modal use cases.
• Includes specialized tools like a Uniform Detection system, OCR assistants, Content Moderation, and a GenAI Model Evaluator.
• Features conversational AI with Amazon Lex and Slack integration for Amazon Q Business.
• Demonstrates text-to-image generation using Stability Diffusion and advanced image analysis with Claude 3.

Maintenance & Community

This repository is part of the aws-samples organization. Specific contributor details or community links are not explicitly mentioned in the README.

Licensing & Compatibility

• License: MIT-0 License.
• Compatibility: The MIT-0 license is permissive and generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The repository requires active AWS account configuration and access to Amazon Bedrock, which may incur costs. Each project's setup complexity and specific dependencies can vary.