robertosousa1 / lambda-image-analysis-with-aws-rekognition

Automated image analysis with machine learning using a lambda function with a translation service to translate the answer in Portuguese Brazil (pt-BR).

Lambda function for image analysis with AWS Rekognition

Automated image analysis with machine learning using a lambda function with a translation service to translate the answer in Portuguese Brazil (pt-BR).

Technology   |    Prerequisites   |    Getting started   |    How to contribute   |    License

🚀 Technology

• AWS Lambda — Allows you to run code without provisioning or managing servers.
• Serverless Framework — Gives you everything you need to develop, deploy, monitor and secure serverless applications on any cloud.
• AWS Rekognition — Automation of image and video analysis with machine learning.
• AWS Translate — Neural machine translation service

☑️ Prerequisites

• Node.js
• NPM or Yarn
• AWS CLI
• Serverless Framework

🆙 Getting started

• Clone this repo
• Enter the folder lambda-image-analysis-with-aws-rekognition
• Run yarn or npm install to install the dependencies
• Run sls deploy or serverless deploy to upload the lambda function to AWS
• Access the endpoint informed in the terminal
• After the endpoint in the browser, insert the query string ?imageUrl= then insert the address of the image on the web you want to analyze

✏️ How to contribute

• Make a fork;
• Create a branck with your feature: git checkout -b my-feature;
• Commit changes: git commit -m 'feat: My new feature';
• Make a push to your branch: git push origin my-feature.

After merging your receipt request to done, you can delete a branch from yours.

📝 License

This project is under the MIT license. See the LICENSE for more information.

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