A Serverless Application for Image Recognition with AWS Rekognition and Lambda
The Rekognize Image Serverless App is a powerful and scalable serverless application built on AWS. It leverages AWS Rekognition, a deep learning-based image and video analysis service, to perform image recognition tasks. This application is designed to help you easily integrate image recognition capabilities into your own projects, apps, or workflows.
- Image Recognition: Quickly and accurately recognize objects, people, text, scenes, and more in images.
- Serverless Architecture: Utilize AWS Lambda, API Gateway, and S3 for a highly scalable and cost-effective solution.
- Event-Driven: Automatically process images in real-time as they are uploaded to an S3 bucket.
- Customizable: Modify and extend the application to meet your specific image recognition needs.
Before you get started, ensure you have the following prerequisites:
- AWS Account with appropriate permissions.
- Serverless Framework installed and configured.
- Python 3.11 (the runtime for the Lambda functions).
- Other project-specific prerequisites.
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Clone this repository:
git clone https://github.com/your-username/rekognize-image-serverless-app.git
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Change into the project directory:
cd rekognize-image-serverless-app -
Install dependencies The Serverless Framework is a crucial tool for deploying and managing serverless applications
npm install -g serverless
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Configure your AWS credentials
serverless config credentials --provider aws --key YOUR_AWS_KEY --secret YOUR_AWS_SECRET
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Deploy the Application
serverless deploy
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Upload Images Upload images to the specified S3 bucket to trigger the image recognition process.
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Access Results View image recognition results through the chosen output method, such as logs, API endpoints, or custom integrations.
We welcome contributions!
This project is licensed under MIT License