Proposal Name: StreamAnalyzerFor5GSlicing Full title: Integration and enhancements of Lamda Networks’ NWDAF implementation to 6G-XR for providing AI/ML capabilities for slicing Organisation: Lamda Networks (SME) - lamdanetworks.io Country: Greece Topic: TOP4 - AI/ML for slicingg: AI/ML algorithm for efficient resource optimization in the 5G slicing techniques 6G-XR Facilities: North node - OULU 5GTN Artificial Intelligence (AI) and Machine Learning (ML) are crucial for optimizing 5G and 6G networks. StreamAnalyzerFor5GSlicing has evolved to include 5G-specific functionalities and is now a fully 3GPP compliant Network Data Analytics Function (NWDAF). It uses 3GPP APIs to aggregate and analyze data from 5G core network functions, optimizing performance and automating operations such as dynamic network slicing, automated fault detection, and predictive maintenance. The project aims to integrate StreamAnalyzer with the UOULU 5GTN test environment, refining its ML/AI capabilities based on experimental feedback. The outcomes will be showcased to potential customers for a strong market entry.