Define Use Cases for Portfolio Projects

[tarasowski]

• Automated tagging (intercept http request here, track all user clicks and send to backend, automatically extract features or columns from all data based on ML) -> web analytics w/o tagging
• Serverless Docusaurus (package docusaurus into CI/CD pipeline + cloudfront) single-click deployment
• Implementation of ML models from scratch: https://github.com/eriklindernoren/ML-From-Scratch
• Build js tracker for aws event bridge
• Build a data layer from scratch (and 1 connector)
• Synthetic data (https://mostly.ai/)
• Dynamic Vouchering
• Continue Configuration
• 1to1 Website Personalization (https://www.evergage.com/de/)
• Content Recommendation (WP plugin)
• Find similar tools to evergage and check their uses cases
• Other business use case ideas: https://medium.com/mcgill-artificial-intelligence-review/120-machine-learning-business-ideas-from-the-new-mckinsey-report-b81b239f336#.fzggun9c8

[tarasowski]

• https://github.com/awslabs/fraud-detection-using-machine-learning
• (sagemaker examples) https://github.com/awslabs/amazon-sagemaker-examples

[tarasowski]

Describe the preparation and link the docs of the AWS certificatiion exam: https://github.com/tarasowski/aws-big-data

[tarasowski]

• Create unsupervised learning algorithm that can cluster customer data into an retentiongrid like this one: http://retentiongrid.com/retentiongrid-the-7-segments-explained/

[tarasowski]

• Generate a rap song with AI in german, use aws polly (or the real voice of a rapper - voice cloning https://github.com/CorentinJ/Real-Time-Voice-Cloning) and ask Fritz to put it on the beat. https://medium.com/@ivanliljeqvist/using-ai-to-generate-lyrics-5aba7950903