O1.1 Agree on standardised datasets for benchmarking ML models

O1.2 Ensure robust and comparable performance across different applications within geotechnics

O1.3 Explore the deployment of advanced sensors for on-site acquisition of geotechnical data

O1.4 Foster the development of more realistic and applicable AI models

T1.1 Selection of Benchmark Datasets

T1.2 Big Data acquisition

T1.3 Site investigation and geo-materials behaviour

T1.4 Standardisation and framework development for ML in geotechnical engineering

D1.1 Repository of bechmark monitoring and testing data sets (delivered on 30.01.25)

D1.2 Guideline for integration of ML in geotechnical engineering (delivered on 23.03.25)