Toxicity Detection Platform Integrated with HPCC Systems Cloud and GitOps

This project was completed by a student accepted on to the 2021 HPCC Systems Intern Program.

Project Description

Arc is similar to Google Anthos which address issues for multi-cloud and hybrid cloud management. This project try to explore following (wish list)
https://docs.microsoft.com/en-us/azure/azure-arc/kubernetes/overview

Study general web application integration with HPCC Systems Cloud
Research and design Toxicity Detection Model using HPCC Systems GNN Bundle
Deploy applications and apply configuration by using GitOps-based configuration management.

Completion of this project involves:

Create a github project for deploying and configuration files
Create a HPCC Systems Cloud Cluster with GNN setup
Implements Toxicity Detection Model application using HPCC Systems Cloud as backend

By the mid term review we would expect you to have:

A working HPCC Systems Cloud on Azure with GNN and basic Toxicity Detection Model training

Mentor	Foreman, Robert (RIS-BCT) <Robert.Foreman@lexisnexisrisk.com> Contact Details Backup Mentor: Xiaoming Wang (RIS-BCT) <Xiaoming.Wang@lexisnexis.com> Contact Details
Skills needed	General Cloud Environment knowledge including Docker, Kubernetes Azure Kubernetes Service (AKS) Windows Powershell, Unix Shell, Python Ability to build and test the HPCC system (guidance will be provided). Ability to write test code. Knowledge of ECL is not a requirement since it should be possible to re-use existing code with minimal changes for this purpose. Links are provided below to our ECL training documentation and online courses should you wish to become familiar with the ECL language.
Deliverables	Midterm A working HPCC Systems Cloud on Azure with GNN and basic Toxicity Detection Model training End of project Complete Toxicity Detection web application backed by HPCC Systems Cloud
Other resources	HPCC Systems website HPCC Systems Cloud native Platform resources Docker Hub: https://github.com/hpcc-systems/docker-hpcc Learning ECL documentation and on-line training courses. Any Kubernetes Tutorial

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