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2022-09-06 (Tuesday)

Recording Link:

1. Greetings and Introduction of the project
   1. Architecture Flow for Initial Seed Code Contribution
   2. Initial Repository Owners for seed code
   3. MVP contribution related to AIML workflow
2. EMCO framework
3. CII badging
4. Jira Tasks
5. The First sprint will start at 12th -  O-RAN SC's dev sprint2 begins on 12th and ends on 30th Sep.(Releases - Releases - Confluence (o-ran-sc.org)
6. Jira Task creation is in progress. For seed code contribution, we will use a temporal epic name as 'seed code', after that I will bring the names for next features. 
7. G release 
   1. G Release

      1. G Feature Scope / Achievements:

         • Stand-alone installation with Kubeflow as a Training host backend and Kserve as an Inference host backend
         • Manual Deployment of ML rApp and ML xApp
         • Initial Training Job Management (Data extraction / feature management)
         • Sample ML pipeline and ML xApp: QoE Prediction model using LSTM with data from ricapp/qp) => will bring this issue as a discussion point to RICAPP project
8. Introduction of the project
   1. Architecture Flow for Initial Seed Code Contribution
   2. Initial Repositories 
9. Discussion with projects
   1. MVP contribution related to AIML workflow
   2. EMCO framework
10. CII badging