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
- 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
- Clone this repo
- Enter the folder
lambda-image-analysis-with-aws-rekognition
- Run
yarn
ornpm install
to install the dependencies - Run
sls deploy
orserverless 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
- 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.
This project is under the MIT license. See the LICENSE for more information.
Made with by Roberto Sousa 👋 Get in touch!