A Flutter/Dart package that provides an API client for Amazon Augmented AI Runtime, enabling integration with AWS SageMaker's human-in-the-loop machine learning workflows. It allows developers to manage and interact with human review workflows, retrieve labeling tasks, and submit results programmatically. The package is generated from the official AWS SDK API specification, ensuring compatibility with AWS services. It supports all major platforms including mobile, web, and desktop, making it ideal for cross-platform applications requiring human oversight in AI processes.
Use cases
- Integrating human review into ML workflows
- Building AI-powered data labeling apps
- Enabling real-time human-in-the-loop validation
- Supporting compliance-critical data processing
- Creating collaborative AI annotation tools
Key features
- Platform-agnostic AWS integration
- Generated from official AWS SDK
- Supports Android, iOS, Web, and desktop
- Secure authentication via AWS credentials
- Real-time task retrieval and submission
Suitable for
- Developers building AI-assisted data labeling systems
- Teams using AWS SageMaker with human review
- Cross-platform apps needing human-in-the-loop workflows
- Applications requiring audit-ready labeling records
Considerations
- Requires AWS credentials and proper IAM permissions
- Dependent on AWS service availability
- May require additional setup for web deployment
- Limited to features exposed by the AWS SageMaker A2I Runtime API