Hacktoberfest 2024 | AWS Rekognition 🤝 Workflows

AWS Rekognition in Workflows

Are you ready to make a difference this Hacktoberfest? We invite you to contribute by integrating AWS Rekognition into our Workflows ecosystem! This powerful addition will enable users to harness advanced image and video analysis capabilities, enriching our platform and expanding its potential.

Join us in creating a seamless integration that empowers users to unlock insights from their visual data effortlessly. Whether you're a seasoned developer or new to open source, your contributions will play a crucial role in advancing our ecosystem. Let’s work together to bring this innovative functionality to life!

Task description

• this task is open-ended - we do not have a fixed specification, apart from adoption of AWS Rekognition into Workflows ecosystem - we hope that open-source community will help us to figure out the best ways of adoptions
• we predict that this task may originate multiple different Workflow blocks - please share your plans and intentions to let other contributors know what you work on
• we are not sure how to solve authorization for AWS Rekognition - the inference server usually operates outside of AWS, we would need to have secure way on injecting credentials in line with what AWS proposes

Cheatsheet

• Contributor guide
• Workflows docs
• Creating Workflow block - tutorial

Start with CONTRIBUTING.md, the Workflows documentation, and the Creating Workflow block tutorial linked in the issue. Define which AWS Rekognition workflow blocks are needed and how authorization should work for an inference server outside AWS. Done means the proposed integration and secure credential approach are implemented and shared with other contributors.