Docs specific to the AWS AI Agent Global Hackathon.
Hackathon
Objective
To make up for my performance in the previous competition (Google BigQuery AI/ML).
Submission Objective Brief
An autonomous AI agent specialised in cleaning any type of dataset.
Brief
Requirements Checklist
| Requirement | How I manipulated the current project to meet it | Met? |
|---|---|---|
| Hosting a reasoning AI model with AWS Bedrock AgentCore or Sagemaker AI | AWS ESK + Docker container to serve the AI model with AgentCore | ✅ |
| 2 of the AWS stack e.g. Sagemaker AI Studio, Bedrock AgentCore etc. | Sagemaker AI; AWS Sandkit; AWS ESK + Docker container | ✅ |
| AI agent definition: the project must align with how AI agents are defined | AWS's official definition of an AI agent | ✅ |
Submission (Final Verdict)
All competitions so far
Competitions I have entered with this project, DataBy AI.
| Competition platform / host | Page | Outcome |
|---|---|---|
| DevPost / AWS | AWS AI Agent Global Hackathon | Submitted / unqualified |
| Kaggle / Google | BigQuery AI: Building the Future of Data | Submitted / unqualified |
4.11.2025: This app uses AI agent networks to access external platforms, a reliance driven by the time constraints of these competitions. After my most recent competition, I realised the project's current plans leave it vulnerable to many cybersecurity threats (e.g. data leakage). As the app's sole developer, I should give myself 1-2 months to revise my plans before entering a new competition or deploying the app.