AI integration in the framework and Improvements to Reproducibility of settings in the UI/Base Class

[RahulVadisetty91]

Summary It adds to the UIBase class and includes the predict_user_interaction method that also uses an AI model for predicting user interactions based on the history. Also, the IsolationForest model has been updated with the fixed random_state parameter, which allows receiving the same result, if the model was launched several times, preventing the state inconsistency problem, which used to exist in previous releases.

Related Issues No specific issues linked.

Discussions Illustrate improvements on the use of AI as well as the issues of reproducibility that occur in the interaction of the user with the system.

QA Instructions , test the predict_user_interaction method with different levels of interaction as described below.

Merge Plan To avoid any inconsistencies in performance, the test reproducibility of the models should be done before merging.

Motivation and Context Integrating AI-based predictions also contribute towards the UI factor by predicting the user actions as well as solving the issues of reproducibility context in AI models.

Types of Changes Feature Addition: Using artificial intelligence for the prediction of user-interaction. Enhancement: Better replication through fixed random_state

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