Girish and Rohit will be Committers.

Rest will be Contributors.

Sridhar to complete the info.yaml - and accordingly create (a) Slack.

Failure Prediction using AI/ML in NFV Environments : The Data description is updated.

ToDo: (a) Location of the Node Failure events (b)  Location of the Link Failure events.

2 Approaches to Enhance the model.

1. LSTM - RNN. (ongoing) 
2. GNN  - 

15th – Plan to complete both enhancements.

Complete the testing with existing data by End of August.

Implementation is Ongoing - Testing will be blocked until we get some data. Continuing with the existing data.

Jupyter-Notebooks.

If Testing of the models with more Real-world data is not possible - consider doing Gap-Analysis on (Trend/Pattern and Anomaly Detection)

Kanak: Reinforcement Learning. Going through the articles. Unable to really find right reasoning. When to use which algorithm.

List the algorithms that are part of reinforcement learning - Start 2-3 algorithms. Applicability of these algorithms - when to use points.

Algo-Selector 

Implementation Approach:

Chatbot

Use: Decision Tree (Rule-Based). 

Goal: Which Python module/project to reuse.

APIs to config and start is completed. Stop API is ongoing.

ToDo: Containerizing and creating VM.