Project completed as part of the EY Better Working Data Challenge 2022 (qualified as a global semi-finalist)
Contributors: Sneha Kumar, Barnabas Ee
Objectives: Create a frog discovery tool to accurately identify and predict the presence of Litoria Fallax in Australia
Dataset: TerraClimate dataset
Methods Explored: Data Balancing/removal of bias, Ensembling (Soft Voting), Hyperparamter Tuning
Results: 75% accuracy